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adriansanz
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intent_analysis_3labels_v1

Text Classification
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adriansanz/intent_analysis_xml_5ep_v1_es_ca

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  1. README.md +11 -11
  2. config.json +0 -0
  3. model.safetensors +2 -2
  4. runs/Nov18_07-39-14_78f44610ad9f/events.out.tfevents.1731915559.78f44610ad9f.2578.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0166
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- - Accuracy: 0.9971
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- - Precision: 0.9971
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- - Recall: 0.9971
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- - F1: 0.9971
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  ## Model description
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@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 214 | 0.0492 | 0.9875 | 0.9875 | 0.9875 | 0.9875 |
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- | No log | 2.0 | 428 | 0.0385 | 0.9899 | 0.9901 | 0.9899 | 0.9899 |
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- | 0.6012 | 3.0 | 642 | 0.0265 | 0.9935 | 0.9935 | 0.9935 | 0.9935 |
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- | 0.6012 | 4.0 | 856 | 0.0199 | 0.9966 | 0.9966 | 0.9966 | 0.9966 |
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- | 0.0105 | 5.0 | 1070 | 0.0166 | 0.9971 | 0.9971 | 0.9971 | 0.9971 |
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  ### Framework versions
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  - Transformers 4.46.2
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- - Pytorch 2.5.0+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.20.3
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0167
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+ - Accuracy: 0.9969
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+ - Precision: 0.9969
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+ - Recall: 0.9969
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+ - F1: 0.9969
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 214 | 0.0432 | 0.9899 | 0.9899 | 0.9899 | 0.9899 |
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+ | No log | 2.0 | 428 | 0.0252 | 0.9952 | 0.9952 | 0.9952 | 0.9952 |
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+ | 0.0885 | 3.0 | 642 | 0.0263 | 0.9956 | 0.9956 | 0.9956 | 0.9956 |
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+ | 0.0885 | 4.0 | 856 | 0.0222 | 0.9962 | 0.9962 | 0.9962 | 0.9962 |
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+ | 0.0086 | 5.0 | 1070 | 0.0167 | 0.9969 | 0.9969 | 0.9969 | 0.9969 |
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  ### Framework versions
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  - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.20.3
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