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annomatic_source_subsamples_model_alpha_10_idx_3

Text Classification
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roberta
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Training in progress, step 48

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Files changed (43) hide show
  1. README.md +7 -7
  2. config.json +1 -1
  3. model.safetensors +1 -1
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  43. training_args.bin +1 -1
README.md CHANGED
@@ -5,14 +5,14 @@ base_model: roberta-base
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: annomatic_source_subsamples_model_alpha_10_idx_3
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  results: []
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  ---
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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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- # annomatic_source_subsamples_model_alpha_10_idx_3
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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@@ -34,10 +34,10 @@ 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: 64
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- - eval_batch_size: 64
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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: 3
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@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - Transformers 4.47.0
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- - Pytorch 2.5.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: annomatic_source_subsamples_model_alpha_10_idx_2
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  results: []
10
  ---
11
 
12
  <!-- 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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+ # annomatic_source_subsamples_model_alpha_10_idx_2
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17
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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34
 
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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: 32
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+ - eval_batch_size: 32
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  - seed: 42
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+ - optimizer: Use OptimizerNames.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: 3
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  ### Framework versions
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+ - Transformers 4.48.3
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+ - Pytorch 2.6.0+cu124
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -21,7 +21,7 @@
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "type_vocab_size": 1,
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