tadiecool29/xlmr-stl-base-sentiment

.gitattributes

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README.md

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+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: xlmr-stl-base-sentiment
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# xlmr-stl-base-sentiment
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7501
+- Sentiment Precision: 0.7167
+- Sentiment Recall: 0.7172
+- F1: 0.7158
+- Sentiment Acc: 0.7219
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sentiment Precision | Sentiment Recall | F1     | Sentiment Acc |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------:|:-------------:|
+| 0.8405        | 1.0   | 402  | 0.7856          | 0.6781              | 0.6670           | 0.6586 | 0.6746        |
+| 0.7892        | 2.0   | 804  | 0.7083          | 0.7067              | 0.7008           | 0.6979 | 0.6983        |
+| 0.6419        | 3.0   | 1206 | 0.7734          | 0.6985              | 0.6871           | 0.6773 | 0.6945        |
+| 0.5582        | 4.0   | 1608 | 0.7174          | 0.7142              | 0.7154           | 0.7130 | 0.7182        |
+| 0.5676        | 5.0   | 2010 | 0.7412          | 0.7098              | 0.7105           | 0.7091 | 0.7157        |
+| 0.5029        | 6.0   | 2412 | 0.7501          | 0.7167              | 0.7172           | 0.7158 | 0.7219        |
+
+
+### Framework versions
+
+- Transformers 5.15.0
+- Pytorch 2.11.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

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tokenizer_config.json

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+  "add_prefix_space": true,
+  "backend": "tokenizers",
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+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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