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--- |
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base_model: sanchit-gandhi/Mistral-7B-v0.1-6-layer |
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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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datasets: |
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- generator |
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model-index: |
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- name: sanchit-gandhi/Mistral-7B-v0.1-6-layer |
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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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# sanchit-gandhi/Mistral-7B-v0.1-6-layer |
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This model is a fine-tuned version of [sanchit-gandhi/Mistral-7B-v0.1-6-layer](https://huggingface.co/sanchit-gandhi/Mistral-7B-v0.1-6-layer) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1183 |
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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: 0.0003 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.8342 | 1.0 | 273 | 4.7379 | |
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| 3.3301 | 2.0 | 546 | 3.2846 | |
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| 2.4158 | 3.0 | 819 | 2.4134 | |
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| 2.1322 | 4.0 | 1092 | 2.1637 | |
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| 2.0369 | 5.0 | 1365 | 2.1183 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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