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trained_weigths

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End of training

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  1. README.md +8 -8
  2. adapter_model.safetensors +1 -1
  3. runs/Apr09_07-34-24_DESKTOP-5GR7SN9/events.out.tfevents.1712619271.DESKTOP-5GR7SN9.21868.1 +3 -0
  4. runs/Apr09_09-11-15_DESKTOP-5GR7SN9/events.out.tfevents.1712625082.DESKTOP-5GR7SN9.21868.2 +3 -0
  5. 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: 0.7271
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  ## Model description
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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: 4
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  - eval_batch_size: 8
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.739 | 1.0 | 6036 | 0.6807 |
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- | 0.6133 | 2.0 | 12072 | 0.6797 |
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- | 0.5532 | 3.0 | 18108 | 0.6996 |
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- | 0.5074 | 4.0 | 24144 | 0.7271 |
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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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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 32
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  - eval_batch_size: 8
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5761 | 1.0 | 755 | 0.6937 |
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+ | 0.5945 | 2.0 | 1510 | 0.6818 |
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+ | 0.5896 | 3.0 | 2265 | 0.6801 |
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+ | 0.609 | 4.0 | 3020 | 0.6810 |
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  ### Framework versions
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