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sauc-abadal-lloret
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bert-base-cased-sft-glue-sst2

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End of training

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Jul15_08-37-28_201c623fe92b/events.out.tfevents.1721032648.201c623fe92b.906.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2680
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- - Accuracy: 0.9083
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  ## Model description
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@@ -42,17 +42,17 @@ The following hyperparameters were used during training:
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  - eval_batch_size: 256
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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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- - lr_scheduler_type: linear
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  - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0 | 0 | 0.7364 | 0.4908 |
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- | No log | 1.0 | 264 | 0.2276 | 0.9140 |
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- | 0.2016 | 2.0 | 528 | 0.2593 | 0.9048 |
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- | 0.2016 | 3.0 | 792 | 0.2680 | 0.9083 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2444
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+ - Accuracy: 0.9209
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  ## Model description
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  - eval_batch_size: 256
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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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+ - lr_scheduler_type: constant
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  - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0 | 0 | 0.6980 | 0.4851 |
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+ | No log | 1.0 | 264 | 0.2310 | 0.9140 |
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+ | 0.2038 | 2.0 | 528 | 0.2655 | 0.9060 |
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+ | 0.2038 | 3.0 | 792 | 0.2444 | 0.9209 |
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  ### Framework versions
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