azma-OpenHermes-2.5-Mistral-7B-agent-v1
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- adapter_model.safetensors +1 -1
README.md
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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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: 0.03
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- lr_scheduler_warmup_steps:
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.5474 | 0.46 | 60 | 0.6732 |
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| 0.4542 | 0.54 | 70 | 0.6435 |
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| 0.5981 | 0.62 | 80 | 0.6585 |
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| 0.5791 | 0.7 | 90 | 0.6484 |
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| 0.4875 | 0.77 | 100 | 0.6360 |
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| 0.4654 | 0.85 | 110 | 0.6309 |
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| 0.4344 | 0.93 | 120 | 0.6195 |
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### Framework versions
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4192
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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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: 0.03
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.3147 | 0.17 | 25 | 1.1471 |
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| 0.6178 | 0.34 | 50 | 0.5957 |
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| 0.4326 | 0.51 | 75 | 0.4810 |
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| 0.3723 | 0.67 | 100 | 0.4367 |
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| 0.348 | 0.84 | 125 | 0.4192 |
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### Framework versions
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 859991408
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version https://git-lfs.github.com/spec/v1
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size 859991408
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