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End of training

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  1. README.md +11 -1
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@@ -14,10 +14,13 @@ 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/rafael-torrestimal-Personal/huggingface/runs/q4cyw2ji)
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  # falcon7binstruct_fine_tunning_PPF_english_conversations_fake
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  This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://huggingface.co/vilsonrodrigues/falcon-7b-instruct-sharded) on the None dataset.
 
 
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  ## Model description
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@@ -45,11 +48,18 @@ 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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- - training_steps: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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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/rafael-torrestimal-Personal/huggingface/runs/q4cyw2ji)
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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/rafael-torrestimal-Personal/huggingface/runs/q4cyw2ji)
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  # falcon7binstruct_fine_tunning_PPF_english_conversations_fake
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  This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://huggingface.co/vilsonrodrigues/falcon-7b-instruct-sharded) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4691
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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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+ - training_steps: 50
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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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+ | 0.7389 | 0.0667 | 10 | 0.6081 |
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+ | 0.56 | 0.1333 | 20 | 0.5264 |
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+ | 0.5216 | 0.2 | 30 | 0.4919 |
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+ | 0.4881 | 0.2667 | 40 | 0.4722 |
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+ | 0.4646 | 0.3333 | 50 | 0.4691 |
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  ### Framework versions