Initial Commit

README.md

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+---
+license: mit
+base_model: facebook/xlm-v-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-TCR-XLMV-XCOPA-5_data-xcopa_all
+  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. -->
+
+# scenario-TCR-XLMV-XCOPA-5_data-xcopa_all
+
+This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6931
+- Accuracy: 0.5125
+- F1: 0.4891
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 214
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.38  | 5    | 0.6925          | 0.5333   | 0.5246 |
+| No log        | 0.77  | 10   | 0.6931          | 0.4867   | 0.4680 |
+| No log        | 1.15  | 15   | 0.6932          | 0.475    | 0.4483 |
+| No log        | 1.54  | 20   | 0.6932          | 0.4658   | 0.4241 |
+| No log        | 1.92  | 25   | 0.6932          | 0.4975   | 0.4724 |
+| No log        | 2.31  | 30   | 0.6931          | 0.5175   | 0.4970 |
+| No log        | 2.69  | 35   | 0.6931          | 0.5142   | 0.4987 |
+| No log        | 3.08  | 40   | 0.6931          | 0.5167   | 0.5026 |
+| No log        | 3.46  | 45   | 0.6931          | 0.53     | 0.5146 |
+| No log        | 3.85  | 50   | 0.6931          | 0.5492   | 0.5292 |
+| No log        | 4.23  | 55   | 0.6931          | 0.5517   | 0.5394 |
+| No log        | 4.62  | 60   | 0.6931          | 0.5508   | 0.5357 |
+| No log        | 5.0   | 65   | 0.6931          | 0.5533   | 0.5387 |
+| No log        | 5.38  | 70   | 0.6930          | 0.5592   | 0.5428 |
+| No log        | 5.77  | 75   | 0.6930          | 0.5608   | 0.5453 |
+| No log        | 6.15  | 80   | 0.6931          | 0.54     | 0.5258 |
+| No log        | 6.54  | 85   | 0.6933          | 0.4958   | 0.4860 |
+| No log        | 6.92  | 90   | 0.6931          | 0.5308   | 0.4987 |
+| No log        | 7.31  | 95   | 0.6931          | 0.53     | 0.5130 |
+| No log        | 7.69  | 100  | 0.6931          | 0.5292   | 0.5074 |
+| No log        | 8.08  | 105  | 0.6931          | 0.5358   | 0.5101 |
+| No log        | 8.46  | 110  | 0.6931          | 0.5225   | 0.4943 |
+| No log        | 8.85  | 115  | 0.6925          | 0.5575   | 0.5354 |
+| No log        | 9.23  | 120  | 0.6931          | 0.5417   | 0.5250 |
+| No log        | 9.62  | 125  | 0.6931          | 0.5133   | 0.4804 |
+| No log        | 10.0  | 130  | 0.6931          | 0.5358   | 0.5004 |
+| No log        | 10.38 | 135  | 0.6931          | 0.5425   | 0.5163 |
+| No log        | 10.77 | 140  | 0.6931          | 0.5433   | 0.5142 |
+| No log        | 11.15 | 145  | 0.6931          | 0.5425   | 0.5103 |
+| No log        | 11.54 | 150  | 0.6931          | 0.5467   | 0.5099 |
+| No log        | 11.92 | 155  | 0.6931          | 0.5358   | 0.4986 |
+| No log        | 12.31 | 160  | 0.6931          | 0.5275   | 0.4841 |
+| No log        | 12.69 | 165  | 0.6931          | 0.5192   | 0.4825 |
+| No log        | 13.08 | 170  | 0.6931          | 0.5283   | 0.4910 |
+| No log        | 13.46 | 175  | 0.6930          | 0.5508   | 0.5131 |
+| No log        | 13.85 | 180  | 0.6930          | 0.5542   | 0.5303 |
+| No log        | 14.23 | 185  | 0.6932          | 0.4908   | 0.4664 |
+| No log        | 14.62 | 190  | 0.6931          | 0.5075   | 0.4802 |
+| No log        | 15.0  | 195  | 0.6932          | 0.5083   | 0.4806 |
+| No log        | 15.38 | 200  | 0.6932          | 0.4625   | 0.4377 |
+| No log        | 15.77 | 205  | 0.6932          | 0.48     | 0.4694 |
+| No log        | 16.15 | 210  | 0.6932          | 0.49     | 0.4742 |
+| No log        | 16.54 | 215  | 0.6931          | 0.5333   | 0.5130 |
+| No log        | 16.92 | 220  | 0.6931          | 0.5217   | 0.4884 |
+| No log        | 17.31 | 225  | 0.6931          | 0.5125   | 0.4891 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.1.1+cu121
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "facebook/xlm-v-base",
+  "architectures": [
+    "XLMRobertaForMultipleChoice"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 901629
+}

pytorch_model.bin

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training_args.bin

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