Model save

README.md

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+---
+base_model: EleutherAI/pythia-31m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: BL-pythia-31m-goodwiki-deduped-split-2048-scratch
+  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. -->
+
+# BL-pythia-31m-goodwiki-deduped-split-2048-scratch
+
+This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.5181
+- Accuracy: 0.2680
+
+## 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: 0.0005
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 80085
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 6.8347        | 0.16  | 100  | 6.7683          | 0.1380   |
+| 6.0732        | 0.32  | 200  | 6.0489          | 0.1712   |
+| 5.6949        | 0.48  | 300  | 5.6941          | 0.1935   |
+| 5.4723        | 0.64  | 400  | 5.4411          | 0.2066   |
+| 5.2672        | 0.8   | 500  | 5.2621          | 0.2162   |
+| 5.165         | 0.96  | 600  | 5.1339          | 0.2241   |
+| 5.0693        | 1.12  | 700  | 5.0290          | 0.2304   |
+| 4.9234        | 1.28  | 800  | 4.9430          | 0.2369   |
+| 4.886         | 1.44  | 900  | 4.8702          | 0.2413   |
+| 4.8422        | 1.6   | 1000 | 4.8086          | 0.2458   |
+| 4.7688        | 1.76  | 1100 | 4.7593          | 0.2488   |
+| 4.734         | 1.93  | 1200 | 4.7118          | 0.2527   |
+| 4.6877        | 2.09  | 1300 | 4.6721          | 0.2556   |
+| 4.6135        | 2.25  | 1400 | 4.6350          | 0.2583   |
+| 4.6117        | 2.41  | 1500 | 4.6013          | 0.2606   |
+| 4.5424        | 2.57  | 1600 | 4.5707          | 0.2635   |
+| 4.5535        | 2.73  | 1700 | 4.5447          | 0.2658   |
+| 4.4823        | 2.89  | 1800 | 4.5181          | 0.2680   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.2.0.dev20230907+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.33.1"
+}

model.safetensors

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+oid sha256:b7dc482218132fcfdf9a314f7a96717c5e7c30d06d7e0dd980a5888359a10d69
 size 121988328