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End of training

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Files changed (6) hide show
  1. README.md +11 -12
  2. config.json +1 -1
  3. pytorch_model.bin +2 -2
  4. tokenizer.json +2 -2
  5. tokenizer_config.json +43 -8
  6. training_args.bin +2 -2
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0236
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- - Precision: 0.9158
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- - Recall: 0.9534
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- - F1: 0.9342
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- - Accuracy: 0.9944
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  ## Model description
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@@ -49,20 +49,19 @@ The following hyperparameters were used during training:
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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 | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.3305 | 1.0 | 882 | 0.0680 | 0.7529 | 0.8586 | 0.8023 | 0.9821 |
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- | 0.057 | 2.0 | 1764 | 0.0329 | 0.8736 | 0.9207 | 0.8965 | 0.9916 |
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- | 0.0291 | 3.0 | 2646 | 0.0236 | 0.9158 | 0.9534 | 0.9342 | 0.9944 |
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  ### Framework versions
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- - Transformers 4.33.0
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- - Pytorch 2.0.0
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  - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0450
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+ - Precision: 0.8433
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+ - Recall: 0.8926
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+ - F1: 0.8672
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+ - Accuracy: 0.9882
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  ## Model description
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.3271 | 1.0 | 882 | 0.0750 | 0.7356 | 0.8351 | 0.7822 | 0.9793 |
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+ | 0.0637 | 2.0 | 1764 | 0.0450 | 0.8433 | 0.8926 | 0.8672 | 0.9882 |
 
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  ### Framework versions
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1
config.json CHANGED
@@ -49,7 +49,7 @@
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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": "4.33.0",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 250002
 
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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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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 250002
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