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Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
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Fine-tuned on eco-products domain (brand, product name, origin)

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Files changed (5) hide show
  1. README.md +6 -9
  2. best/model.safetensors +1 -1
  3. best/training_args.bin +1 -1
  4. model.safetensors +1 -1
  5. training_args.bin +1 -1
README.md CHANGED
@@ -1,7 +1,5 @@
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  ---
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  library_name: transformers
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- license: cc-by-4.0
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- base_model: bltlab/queryner-bert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # checkpoints
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- This model is a fine-tuned version of [bltlab/queryner-bert-base-uncased](https://huggingface.co/bltlab/queryner-bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1055
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  ## Model description
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@@ -35,22 +33,21 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-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 OptimizerNames.ADAMW_TORCH_FUSED 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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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.9302 | 1.0 | 797 | 0.1401 |
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- | 0.163 | 2.0 | 1594 | 0.1058 |
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- | 0.1035 | 3.0 | 2391 | 0.1055 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # checkpoints
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+ This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0658
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-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 OptimizerNames.ADAMW_TORCH_FUSED 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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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1329 | 1.0 | 797 | 0.0703 |
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+ | 0.0592 | 2.0 | 1594 | 0.0658 |
 
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  ### Framework versions
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