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--- |
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license: apache-2.0 |
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base_model: teknium/OpenHermes-2.5-Mistral-7B |
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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: criticon-sft-v0.1 |
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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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# criticon-sft-v0.1 |
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This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4668 |
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## WandB logs |
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- [criticon logs](https://wandb.ai/argilla-io/criticon/runs/g8sd5jhi?nw=nwuserplagussargilla) |
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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: 5e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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: 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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| 0.6226 | 0.29 | 500 | 0.6215 | |
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| 0.5616 | 0.57 | 1000 | 0.5684 | |
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| 0.5384 | 0.86 | 1500 | 0.5288 | |
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| 0.4248 | 1.14 | 2000 | 0.5098 | |
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| 0.3969 | 1.43 | 2500 | 0.4809 | |
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| 0.3933 | 1.72 | 3000 | 0.4668 | |
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### Framework versions |
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- Transformers 4.38.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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