Update Hyper_Params.md
Browse files- Hyper_Params.md +155 -1
Hyper_Params.md
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# Finetuning midddle layers (vision module layers = 22 to 26 +projector + language layers = 0 to 4)
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# gemma-3-4b-it
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# No. of images used in training = 500
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HyperParameters of this model
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lr: 2e-5
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batch size: 1
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-
grad acumulation step:
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# Finetuning midddle layers (vision module layers = 22 to 26 +projector + language layers = 0 to 4)
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# gemma-3-4b-it
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# No. of images used in training = 500
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+
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+
```
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+
model.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 7 |
+
model.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias | shape=(1152,) | requires_grad=True
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| 8 |
+
model.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 9 |
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model.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias | shape=(1152,) | requires_grad=True
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| 10 |
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model.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 11 |
+
model.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias | shape=(1152,) | requires_grad=True
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| 12 |
+
model.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 13 |
+
model.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias | shape=(1152,) | requires_grad=True
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| 14 |
+
model.vision_tower.vision_model.encoder.layers.22.layer_norm2.weight | shape=(1152,) | requires_grad=True
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| 15 |
+
model.vision_tower.vision_model.encoder.layers.22.layer_norm2.bias | shape=(1152,) | requires_grad=True
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| 16 |
+
model.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight | shape=(4304, 1152) | requires_grad=True
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| 17 |
+
model.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias | shape=(4304,) | requires_grad=True
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| 18 |
+
model.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight | shape=(1152, 4304) | requires_grad=True
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| 19 |
+
model.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias | shape=(1152,) | requires_grad=True
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| 20 |
+
model.vision_tower.vision_model.encoder.layers.23.layer_norm1.weight | shape=(1152,) | requires_grad=True
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| 21 |
+
model.vision_tower.vision_model.encoder.layers.23.layer_norm1.bias | shape=(1152,) | requires_grad=True
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| 22 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 23 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias | shape=(1152,) | requires_grad=True
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| 24 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 25 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias | shape=(1152,) | requires_grad=True
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| 26 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 27 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias | shape=(1152,) | requires_grad=True
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| 28 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 29 |
+
model.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias | shape=(1152,) | requires_grad=True
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| 30 |
+
model.vision_tower.vision_model.encoder.layers.23.layer_norm2.weight | shape=(1152,) | requires_grad=True
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| 31 |
+
model.vision_tower.vision_model.encoder.layers.23.layer_norm2.bias | shape=(1152,) | requires_grad=True
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| 32 |
+
model.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight | shape=(4304, 1152) | requires_grad=True
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| 33 |
+
model.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias | shape=(4304,) | requires_grad=True
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| 34 |
+
model.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight | shape=(1152, 4304) | requires_grad=True
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| 35 |
+
model.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias | shape=(1152,) | requires_grad=True
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| 36 |
+
model.vision_tower.vision_model.encoder.layers.24.layer_norm1.weight | shape=(1152,) | requires_grad=True
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| 37 |
+
model.vision_tower.vision_model.encoder.layers.24.layer_norm1.bias | shape=(1152,) | requires_grad=True
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| 38 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 39 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.bias | shape=(1152,) | requires_grad=True
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| 40 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 41 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.bias | shape=(1152,) | requires_grad=True
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| 42 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 43 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.bias | shape=(1152,) | requires_grad=True
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| 44 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 45 |
+
model.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.bias | shape=(1152,) | requires_grad=True
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| 46 |
+
model.vision_tower.vision_model.encoder.layers.24.layer_norm2.weight | shape=(1152,) | requires_grad=True
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| 47 |
+
model.vision_tower.vision_model.encoder.layers.24.layer_norm2.bias | shape=(1152,) | requires_grad=True
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| 48 |
+
model.vision_tower.vision_model.encoder.layers.24.mlp.fc1.weight | shape=(4304, 1152) | requires_grad=True
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| 49 |
+
model.vision_tower.vision_model.encoder.layers.24.mlp.fc1.bias | shape=(4304,) | requires_grad=True
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| 50 |
+
model.vision_tower.vision_model.encoder.layers.24.mlp.fc2.weight | shape=(1152, 4304) | requires_grad=True
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| 51 |
+
model.vision_tower.vision_model.encoder.layers.24.mlp.fc2.bias | shape=(1152,) | requires_grad=True
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| 52 |
+
model.vision_tower.vision_model.encoder.layers.25.layer_norm1.weight | shape=(1152,) | requires_grad=True
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| 53 |
+
model.vision_tower.vision_model.encoder.layers.25.layer_norm1.bias | shape=(1152,) | requires_grad=True
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| 54 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 55 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.bias | shape=(1152,) | requires_grad=True
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| 56 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 57 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.bias | shape=(1152,) | requires_grad=True
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| 58 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 59 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.bias | shape=(1152,) | requires_grad=True
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| 60 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 61 |
+
model.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.bias | shape=(1152,) | requires_grad=True
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| 62 |
+
model.vision_tower.vision_model.encoder.layers.25.layer_norm2.weight | shape=(1152,) | requires_grad=True
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| 63 |
+
model.vision_tower.vision_model.encoder.layers.25.layer_norm2.bias | shape=(1152,) | requires_grad=True
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| 64 |
+
model.vision_tower.vision_model.encoder.layers.25.mlp.fc1.weight | shape=(4304, 1152) | requires_grad=True
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| 65 |
+
model.vision_tower.vision_model.encoder.layers.25.mlp.fc1.bias | shape=(4304,) | requires_grad=True
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| 66 |
+
model.vision_tower.vision_model.encoder.layers.25.mlp.fc2.weight | shape=(1152, 4304) | requires_grad=True
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| 67 |
+
model.vision_tower.vision_model.encoder.layers.25.mlp.fc2.bias | shape=(1152,) | requires_grad=True
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| 68 |
+
model.vision_tower.vision_model.encoder.layers.26.layer_norm1.weight | shape=(1152,) | requires_grad=True
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| 69 |
+
model.vision_tower.vision_model.encoder.layers.26.layer_norm1.bias | shape=(1152,) | requires_grad=True
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| 70 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 71 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.bias | shape=(1152,) | requires_grad=True
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| 72 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 73 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.bias | shape=(1152,) | requires_grad=True
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| 74 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 75 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.bias | shape=(1152,) | requires_grad=True
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| 76 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.weight | shape=(1152, 1152) | requires_grad=True
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| 77 |
+
model.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.bias | shape=(1152,) | requires_grad=True
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| 78 |
+
model.vision_tower.vision_model.encoder.layers.26.layer_norm2.weight | shape=(1152,) | requires_grad=True
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| 79 |
+
model.vision_tower.vision_model.encoder.layers.26.layer_norm2.bias | shape=(1152,) | requires_grad=True
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| 80 |
+
model.vision_tower.vision_model.encoder.layers.26.mlp.fc1.weight | shape=(4304, 1152) | requires_grad=True
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| 81 |
+
model.vision_tower.vision_model.encoder.layers.26.mlp.fc1.bias | shape=(4304,) | requires_grad=True
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| 82 |
+
model.vision_tower.vision_model.encoder.layers.26.mlp.fc2.weight | shape=(1152, 4304) | requires_grad=True
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| 83 |
+
model.vision_tower.vision_model.encoder.layers.26.mlp.fc2.bias | shape=(1152,) | requires_grad=True
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| 84 |
+
model.vision_tower.vision_model.post_layernorm.weight | shape=(1152,) | requires_grad=True
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| 85 |
+
model.vision_tower.vision_model.post_layernorm.bias | shape=(1152,) | requires_grad=True
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| 86 |
+
model.multi_modal_projector.mm_input_projection_weight | shape=(1152, 2560) | requires_grad=True
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| 87 |
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model.multi_modal_projector.mm_soft_emb_norm.weight | shape=(1152,) | requires_grad=True
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| 88 |
+
model.language_model.embed_tokens.weight | shape=(262208, 2560) | requires_grad=True
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| 89 |
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model.language_model.layers.0.self_attn.q_proj.weight | shape=(2048, 2560) | requires_grad=True
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| 90 |
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model.language_model.layers.0.self_attn.k_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 91 |
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model.language_model.layers.0.self_attn.v_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 92 |
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model.language_model.layers.0.self_attn.o_proj.weight | shape=(2560, 2048) | requires_grad=True
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| 93 |
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model.language_model.layers.0.self_attn.q_norm.weight | shape=(256,) | requires_grad=True
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| 94 |
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model.language_model.layers.0.self_attn.k_norm.weight | shape=(256,) | requires_grad=True
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| 95 |
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model.language_model.layers.0.mlp.gate_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 96 |
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model.language_model.layers.0.mlp.up_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 97 |
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model.language_model.layers.0.mlp.down_proj.weight | shape=(2560, 10240) | requires_grad=True
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| 98 |
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model.language_model.layers.0.input_layernorm.weight | shape=(2560,) | requires_grad=True
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| 99 |
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model.language_model.layers.0.post_attention_layernorm.weight | shape=(2560,) | requires_grad=True
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| 100 |
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model.language_model.layers.0.pre_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
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| 101 |
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model.language_model.layers.0.post_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
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| 102 |
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model.language_model.layers.1.self_attn.q_proj.weight | shape=(2048, 2560) | requires_grad=True
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| 103 |
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model.language_model.layers.1.self_attn.k_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 104 |
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model.language_model.layers.1.self_attn.v_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 105 |
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model.language_model.layers.1.self_attn.o_proj.weight | shape=(2560, 2048) | requires_grad=True
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| 106 |
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model.language_model.layers.1.self_attn.q_norm.weight | shape=(256,) | requires_grad=True
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| 107 |
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model.language_model.layers.1.self_attn.k_norm.weight | shape=(256,) | requires_grad=True
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| 108 |
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model.language_model.layers.1.mlp.gate_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 109 |
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model.language_model.layers.1.mlp.up_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 110 |
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model.language_model.layers.1.mlp.down_proj.weight | shape=(2560, 10240) | requires_grad=True
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| 111 |
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model.language_model.layers.1.input_layernorm.weight | shape=(2560,) | requires_grad=True
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| 112 |
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model.language_model.layers.1.post_attention_layernorm.weight | shape=(2560,) | requires_grad=True
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| 113 |
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model.language_model.layers.1.pre_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
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| 114 |
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model.language_model.layers.1.post_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
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| 115 |
+
model.language_model.layers.2.self_attn.q_proj.weight | shape=(2048, 2560) | requires_grad=True
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| 116 |
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model.language_model.layers.2.self_attn.k_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 117 |
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model.language_model.layers.2.self_attn.v_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 118 |
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model.language_model.layers.2.self_attn.o_proj.weight | shape=(2560, 2048) | requires_grad=True
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| 119 |
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model.language_model.layers.2.self_attn.q_norm.weight | shape=(256,) | requires_grad=True
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| 120 |
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model.language_model.layers.2.self_attn.k_norm.weight | shape=(256,) | requires_grad=True
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| 121 |
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model.language_model.layers.2.mlp.gate_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 122 |
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model.language_model.layers.2.mlp.up_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 123 |
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model.language_model.layers.2.mlp.down_proj.weight | shape=(2560, 10240) | requires_grad=True
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| 124 |
+
model.language_model.layers.2.input_layernorm.weight | shape=(2560,) | requires_grad=True
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| 125 |
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model.language_model.layers.2.post_attention_layernorm.weight | shape=(2560,) | requires_grad=True
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| 126 |
+
model.language_model.layers.2.pre_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
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| 127 |
+
model.language_model.layers.2.post_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
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| 128 |
+
model.language_model.layers.3.self_attn.q_proj.weight | shape=(2048, 2560) | requires_grad=True
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| 129 |
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model.language_model.layers.3.self_attn.k_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 130 |
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model.language_model.layers.3.self_attn.v_proj.weight | shape=(1024, 2560) | requires_grad=True
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| 131 |
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model.language_model.layers.3.self_attn.o_proj.weight | shape=(2560, 2048) | requires_grad=True
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| 132 |
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model.language_model.layers.3.self_attn.q_norm.weight | shape=(256,) | requires_grad=True
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| 133 |
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model.language_model.layers.3.self_attn.k_norm.weight | shape=(256,) | requires_grad=True
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| 134 |
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model.language_model.layers.3.mlp.gate_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 135 |
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model.language_model.layers.3.mlp.up_proj.weight | shape=(10240, 2560) | requires_grad=True
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| 136 |
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model.language_model.layers.3.mlp.down_proj.weight | shape=(2560, 10240) | requires_grad=True
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| 137 |
+
model.language_model.layers.3.input_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 138 |
+
model.language_model.layers.3.post_attention_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 139 |
+
model.language_model.layers.3.pre_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 140 |
+
model.language_model.layers.3.post_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 141 |
+
model.language_model.layers.4.self_attn.q_proj.weight | shape=(2048, 2560) | requires_grad=True
|
| 142 |
+
model.language_model.layers.4.self_attn.k_proj.weight | shape=(1024, 2560) | requires_grad=True
|
| 143 |
+
model.language_model.layers.4.self_attn.v_proj.weight | shape=(1024, 2560) | requires_grad=True
|
| 144 |
+
model.language_model.layers.4.self_attn.o_proj.weight | shape=(2560, 2048) | requires_grad=True
|
| 145 |
+
model.language_model.layers.4.self_attn.q_norm.weight | shape=(256,) | requires_grad=True
|
| 146 |
+
model.language_model.layers.4.self_attn.k_norm.weight | shape=(256,) | requires_grad=True
|
| 147 |
+
model.language_model.layers.4.mlp.gate_proj.weight | shape=(10240, 2560) | requires_grad=True
|
| 148 |
+
model.language_model.layers.4.mlp.up_proj.weight | shape=(10240, 2560) | requires_grad=True
|
| 149 |
+
model.language_model.layers.4.mlp.down_proj.weight | shape=(2560, 10240) | requires_grad=True
|
| 150 |
+
model.language_model.layers.4.input_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 151 |
+
model.language_model.layers.4.post_attention_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 152 |
+
model.language_model.layers.4.pre_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 153 |
+
model.language_model.layers.4.post_feedforward_layernorm.weight | shape=(2560,) | requires_grad=True
|
| 154 |
+
|
| 155 |
+
```
|
| 156 |
+
|
| 157 |
+
|
| 158 |
HyperParameters of this model
|
| 159 |
|
| 160 |
lr: 2e-5
|
|
|
|
| 163 |
|
| 164 |
batch size: 1
|
| 165 |
|
| 166 |
+
grad acumulation step: 4
|