kamrr
/

tinyllama-1.1B_dolly-3k_lora

+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model-index:
+- name: tinyllama-1.1B_dolly-3k_lora
+  results: []
+---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+axolotl version: `0.4.0`
+```yaml
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+datasets:
+  - path: kareemamrr/databricks-dolly-3k
+    type: alpaca
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/lora-out
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+adapter: lora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+hub_model_id: kareemamrr/tinyllama-1.1B_dolly-3k_lora
+wandb_project: tinyllama-1.1B_dolly-3k
+wandb_entity: kamr54
+wandb_name: lora
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_steps: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+```
+</details><br>
+# tinyllama-1.1B_dolly-3k_lora
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7510
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.9375        | 0.0476 | 1    | 2.1187          |
+| 1.9297        | 0.2857 | 6    | 2.0186          |
+| 1.8257        | 0.5714 | 12   | 1.8111          |
+| 1.7285        | 0.8571 | 18   | 1.7862          |
+| 1.752         | 1.1071 | 24   | 1.7848          |
+| 1.8686        | 1.3929 | 30   | 1.7808          |
+| 1.6451        | 1.6786 | 36   | 1.7594          |
+| 1.7861        | 1.9643 | 42   | 1.7582          |
+| 1.6606        | 2.2024 | 48   | 1.7536          |
+| 1.6168        | 2.4881 | 54   | 1.7543          |
+| 1.7087        | 2.7738 | 60   | 1.7527          |
+| 1.7276        | 3.0119 | 66   | 1.7525          |
+| 1.8117        | 3.2976 | 72   | 1.7487          |
+| 1.6897        | 3.5833 | 78   | 1.7502          |
+| 1.7861        | 3.8690 | 84   | 1.7510          |
+### Framework versions
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:4ec61afd5eb06084d7db7db405cc986fb6411060589b2aa8148635e761e78268
+size 101036698