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Training completed!

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  1. README.md +8 -8
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +2 -2
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 [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: 0.4165
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- - F1: 0.6767
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  ## Model description
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@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.1731 | 1.0 | 50 | 0.6069 | 0.5575 |
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- | 0.5376 | 2.0 | 100 | 0.4192 | 0.6433 |
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- | 0.4105 | 3.0 | 150 | 0.4165 | 0.6767 |
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu121
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- - Datasets 2.16.0
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  - Tokenizers 0.15.0
 
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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: 0.3893
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+ - F1: 0.7071
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.0175 | 1.0 | 50 | 0.5024 | 0.6003 |
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+ | 0.4492 | 2.0 | 100 | 0.4148 | 0.6959 |
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+ | 0.3572 | 3.0 | 150 | 0.3893 | 0.7071 |
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  ### Framework versions
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+ - Transformers 4.36.2
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.16.1
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  - Tokenizers 0.15.0
config.json CHANGED
@@ -40,7 +40,7 @@
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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": "4.35.2",
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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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+ "transformers_version": "4.36.2",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 250002
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
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