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End of training

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  1. README.md +4 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hakhso/huggingface/runs/o7jrco9y)
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  # RMfLMs
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  This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6822
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- - Accuracy: 0.5725
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  ## Model description
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@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.6725 | 1.4859 | 500 | 0.6822 | 0.5725 |
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  ### Framework versions
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hakhso/huggingface/runs/ewd6mtlt)
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  # RMfLMs
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  This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6504
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+ - Accuracy: 0.6144
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.6225 | 1.0152 | 500 | 0.6504 | 0.6144 |
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  ### Framework versions
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