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azma-OpenHermes-2.5-Mistral-7B-agent-v1

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  1. README.md +8 -15
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.6195
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  ## Model description
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@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0002
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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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: 50
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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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- | 0.9186 | 0.08 | 10 | 0.7712 |
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- | 0.5375 | 0.15 | 20 | 0.6183 |
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- | 0.5409 | 0.23 | 30 | 0.6055 |
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- | 0.635 | 0.31 | 40 | 0.6214 |
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- | 0.5464 | 0.39 | 50 | 0.6498 |
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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
adapter_model.safetensors CHANGED
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