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CuATR-falcon7b

Safetensors
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CuATR-falcon7b-v1

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  1. README.md +9 -6
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +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 [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8072
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  - Accuracy: 0.5652
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  - F1: 0.7222
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@@ -47,17 +47,20 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 7.0665 | 1.0 | 23 | 4.0015 | 0.5652 | 0.7222 |
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- | 3.7503 | 2.0 | 46 | 3.2905 | 0.5652 | 0.7222 |
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- | 6.3838 | 3.0 | 69 | 2.8972 | 0.5652 | 0.7222 |
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- | 3.0789 | 4.0 | 92 | 2.8072 | 0.5652 | 0.7222 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4351
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  - Accuracy: 0.5652
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  - F1: 0.7222
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  - total_train_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 7
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 1.4522 | 1.0 | 23 | 0.8684 | 0.5652 | 0.7222 |
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+ | 0.9683 | 2.0 | 46 | 0.7938 | 0.5652 | 0.7222 |
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+ | 1.5347 | 3.0 | 69 | 0.7187 | 0.5652 | 0.7222 |
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+ | 0.6854 | 4.0 | 92 | 0.6314 | 0.5652 | 0.7222 |
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+ | 0.5356 | 5.0 | 115 | 0.5313 | 0.5652 | 0.7222 |
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+ | 0.2435 | 6.0 | 138 | 0.4704 | 0.5652 | 0.7222 |
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+ | 0.3844 | 7.0 | 161 | 0.4351 | 0.5652 | 0.7222 |
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  ### Framework versions
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