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trained_weigths

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End of training

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  1. README.md +6 -10
  2. adapter_model.safetensors +1 -1
  3. runs/Apr10_05-36-32_DESKTOP-5GR7SN9/events.out.tfevents.1712698598.DESKTOP-5GR7SN9.21868.4 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7291
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  ## Model description
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@@ -43,21 +43,17 @@ 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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- - num_epochs: 8
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.5764 | 1.0 | 755 | 0.6950 |
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- | 0.5964 | 2.0 | 1510 | 0.6837 |
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- | 0.5912 | 3.0 | 2265 | 0.6830 |
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- | 0.6013 | 4.0 | 3020 | 0.6878 |
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- | 0.5122 | 5.0 | 3775 | 0.6994 |
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- | 0.4787 | 6.0 | 4530 | 0.7133 |
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- | 0.4859 | 7.0 | 5285 | 0.7235 |
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- | 0.4924 | 8.0 | 6040 | 0.7291 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6810
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  ## Model description
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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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+ - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5762 | 1.0 | 755 | 0.6938 |
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+ | 0.5946 | 2.0 | 1510 | 0.6818 |
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+ | 0.5896 | 3.0 | 2265 | 0.6801 |
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+ | 0.6087 | 4.0 | 3020 | 0.6810 |
 
 
 
 
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  ### Framework versions
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