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--- |
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library_name: transformers |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: llama_3b_step2_batch_v4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# llama_3b_step2_batch_v4 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3157 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 40 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 24 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.897 | 0.1022 | 50 | 0.8837 | |
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| 0.6522 | 0.2045 | 100 | 0.6790 | |
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| 0.4811 | 0.3067 | 150 | 0.5709 | |
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| 0.4821 | 0.4090 | 200 | 0.4997 | |
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| 0.4577 | 0.5112 | 250 | 0.4469 | |
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| 0.5176 | 0.6135 | 300 | 0.4128 | |
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| 0.3274 | 0.7157 | 350 | 0.3879 | |
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| 0.3363 | 0.8180 | 400 | 0.3672 | |
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| 0.3491 | 0.9202 | 450 | 0.3495 | |
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| 0.2589 | 1.0225 | 500 | 0.3429 | |
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| 0.2783 | 1.1247 | 550 | 0.3360 | |
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| 0.1976 | 1.2270 | 600 | 0.3314 | |
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| 0.2332 | 1.3292 | 650 | 0.3274 | |
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| 0.2571 | 1.4315 | 700 | 0.3237 | |
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| 0.2596 | 1.5337 | 750 | 0.3210 | |
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| 0.2918 | 1.6360 | 800 | 0.3169 | |
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| 0.1956 | 1.7382 | 850 | 0.3167 | |
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| 0.2186 | 1.8405 | 900 | 0.3159 | |
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| 0.2477 | 1.9427 | 950 | 0.3157 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
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