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Mi-roberta-QA

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  1. README.md +16 -16
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Dec04_18-23-36_DESKTOP-P79TL96/events.out.tfevents.1733354616.DESKTOP-P79TL96.12956.0 +3 -0
  5. runs/Dec04_18-25-01_DESKTOP-P79TL96/events.out.tfevents.1733354701.DESKTOP-P79TL96.6156.0 +3 -0
  6. runs/Dec04_20-27-00_DESKTOP-P79TL96/events.out.tfevents.1733362021.DESKTOP-P79TL96.22960.0 +3 -0
  7. runs/Dec04_20-30-43_DESKTOP-P79TL96/events.out.tfevents.1733362244.DESKTOP-P79TL96 +3 -0
  8. tokenizer_config.json +1 -0
  9. training_args.bin +2 -2
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 [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6507
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  ## Model description
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@@ -38,10 +38,10 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 8
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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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  - lr_scheduler_type: linear
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  - num_epochs: 8
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@@ -49,19 +49,19 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 125 | 2.3875 |
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- | No log | 2.0 | 250 | 2.0798 |
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- | No log | 3.0 | 375 | 2.3743 |
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- | 0.037 | 4.0 | 500 | 2.5574 |
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- | 0.037 | 5.0 | 625 | 2.5534 |
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- | 0.037 | 6.0 | 750 | 2.5964 |
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- | 0.037 | 7.0 | 875 | 2.6484 |
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- | 0.0005 | 8.0 | 1000 | 2.6507 |
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  ### Framework versions
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- - Transformers 4.45.2
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- - Pytorch 2.5.0
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- - Datasets 3.0.1
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- - Tokenizers 0.20.1
 
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  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3445
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 8
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 63 | 2.2381 |
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+ | No log | 2.0 | 126 | 2.3253 |
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+ | No log | 3.0 | 189 | 2.2333 |
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+ | No log | 4.0 | 252 | 2.2228 |
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+ | No log | 5.0 | 315 | 2.2494 |
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+ | No log | 6.0 | 378 | 2.3012 |
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+ | No log | 7.0 | 441 | 2.3352 |
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+ | 0.0149 | 8.0 | 504 | 2.3445 |
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  ### Framework versions
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+ - Transformers 4.47.0.dev0
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+ - Pytorch 2.5.1
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
config.json CHANGED
@@ -21,7 +21,7 @@
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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- "transformers_version": "4.45.2",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 50262
 
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.47.0.dev0",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 50262
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tokenizer_config.json CHANGED
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