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scenario-TCR-XLMV-XCOPA-1_data-xcopa_all

Multiple Choice
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. README.md +133 -0
  2. config.json +27 -0
  3. pytorch_model.bin +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/xlm-v-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: scenario-TCR-XLMV-XCOPA-1_data-xcopa_all
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # scenario-TCR-XLMV-XCOPA-1_data-xcopa_all
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+
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+ This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6931
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+ - Accuracy: 0.5325
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+ - F1: 0.5022
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: 500
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 0.38 | 5 | 0.6930 | 0.4967 | 0.4881 |
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+ | No log | 0.77 | 10 | 0.6932 | 0.4933 | 0.4786 |
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+ | No log | 1.15 | 15 | 0.6930 | 0.5017 | 0.4754 |
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+ | No log | 1.54 | 20 | 0.6932 | 0.49 | 0.4613 |
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+ | No log | 1.92 | 25 | 0.6932 | 0.4858 | 0.4592 |
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+ | No log | 2.31 | 30 | 0.6932 | 0.4617 | 0.4323 |
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+ | No log | 2.69 | 35 | 0.6932 | 0.4708 | 0.4540 |
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+ | No log | 3.08 | 40 | 0.6932 | 0.4583 | 0.4288 |
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+ | No log | 3.46 | 45 | 0.6932 | 0.4725 | 0.4529 |
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+ | No log | 3.85 | 50 | 0.6931 | 0.4817 | 0.4601 |
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+ | No log | 4.23 | 55 | 0.6931 | 0.4975 | 0.4842 |
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+ | No log | 4.62 | 60 | 0.6931 | 0.5042 | 0.4884 |
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+ | No log | 5.0 | 65 | 0.6931 | 0.5067 | 0.4957 |
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+ | No log | 5.38 | 70 | 0.6931 | 0.4992 | 0.4859 |
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+ | No log | 5.77 | 75 | 0.6931 | 0.5117 | 0.5034 |
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+ | No log | 6.15 | 80 | 0.6930 | 0.5325 | 0.5031 |
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+ | No log | 6.54 | 85 | 0.6931 | 0.5008 | 0.4823 |
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+ | No log | 6.92 | 90 | 0.6939 | 0.5133 | 0.4859 |
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+ | No log | 7.31 | 95 | 0.6937 | 0.4725 | 0.4510 |
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+ | No log | 7.69 | 100 | 0.6931 | 0.4975 | 0.4611 |
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+ | No log | 8.08 | 105 | 0.6931 | 0.5133 | 0.4767 |
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+ | No log | 8.46 | 110 | 0.6931 | 0.4883 | 0.4468 |
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+ | No log | 8.85 | 115 | 0.6931 | 0.5092 | 0.4736 |
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+ | No log | 9.23 | 120 | 0.6931 | 0.5383 | 0.5265 |
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+ | No log | 9.62 | 125 | 0.6931 | 0.535 | 0.5223 |
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+ | No log | 10.0 | 130 | 0.6931 | 0.4792 | 0.4551 |
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+ | No log | 10.38 | 135 | 0.6931 | 0.4808 | 0.4597 |
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+ | No log | 10.77 | 140 | 0.6931 | 0.4917 | 0.4732 |
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+ | No log | 11.15 | 145 | 0.6931 | 0.4967 | 0.4784 |
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+ | No log | 11.54 | 150 | 0.6931 | 0.4883 | 0.4689 |
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+ | No log | 11.92 | 155 | 0.6931 | 0.4875 | 0.4657 |
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+ | No log | 12.31 | 160 | 0.6931 | 0.4942 | 0.4790 |
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+ | No log | 12.69 | 165 | 0.6931 | 0.4917 | 0.4795 |
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+ | No log | 13.08 | 170 | 0.6931 | 0.5183 | 0.5085 |
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+ | No log | 13.46 | 175 | 0.6931 | 0.4983 | 0.4828 |
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+ | No log | 13.85 | 180 | 0.6931 | 0.4883 | 0.4670 |
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+ | No log | 14.23 | 185 | 0.6931 | 0.5242 | 0.5140 |
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+ | No log | 14.62 | 190 | 0.6931 | 0.4967 | 0.4775 |
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+ | No log | 15.0 | 195 | 0.6931 | 0.495 | 0.4776 |
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+ | No log | 15.38 | 200 | 0.6931 | 0.5192 | 0.5114 |
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+ | No log | 15.77 | 205 | 0.6931 | 0.53 | 0.53 |
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+ | No log | 16.15 | 210 | 0.6931 | 0.5358 | 0.5315 |
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+ | No log | 16.54 | 215 | 0.6931 | 0.5242 | 0.5099 |
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+ | No log | 16.92 | 220 | 0.6931 | 0.5258 | 0.5166 |
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+ | No log | 17.31 | 225 | 0.6931 | 0.4742 | 0.4584 |
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+ | No log | 17.69 | 230 | 0.6931 | 0.4783 | 0.4575 |
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+ | No log | 18.08 | 235 | 0.6931 | 0.4775 | 0.4514 |
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+ | No log | 18.46 | 240 | 0.6931 | 0.4742 | 0.4450 |
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+ | No log | 18.85 | 245 | 0.6931 | 0.4742 | 0.4431 |
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+ | No log | 19.23 | 250 | 0.6931 | 0.4692 | 0.4437 |
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+ | No log | 19.62 | 255 | 0.6931 | 0.4725 | 0.4519 |
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+ | No log | 20.0 | 260 | 0.6931 | 0.4733 | 0.4504 |
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+ | No log | 20.38 | 265 | 0.6931 | 0.4717 | 0.4477 |
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+ | No log | 20.77 | 270 | 0.6931 | 0.4725 | 0.4500 |
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+ | No log | 21.15 | 275 | 0.6931 | 0.4692 | 0.4466 |
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+ | No log | 21.54 | 280 | 0.6931 | 0.4658 | 0.4392 |
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+ | No log | 21.92 | 285 | 0.6931 | 0.4725 | 0.4452 |
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+ | No log | 22.31 | 290 | 0.6931 | 0.4775 | 0.4524 |
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+ | No log | 22.69 | 295 | 0.6931 | 0.4792 | 0.4532 |
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+ | No log | 23.08 | 300 | 0.6931 | 0.4717 | 0.4429 |
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+ | No log | 23.46 | 305 | 0.6931 | 0.4775 | 0.4476 |
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+ | No log | 23.85 | 310 | 0.6931 | 0.4742 | 0.4431 |
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+ | No log | 24.23 | 315 | 0.6931 | 0.4725 | 0.4452 |
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+ | No log | 24.62 | 320 | 0.6931 | 0.475 | 0.4454 |
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+ | No log | 25.0 | 325 | 0.6931 | 0.4717 | 0.4429 |
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+ | No log | 25.38 | 330 | 0.6931 | 0.4742 | 0.4470 |
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+ | No log | 25.77 | 335 | 0.6931 | 0.4758 | 0.4468 |
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+ | No log | 26.15 | 340 | 0.6931 | 0.4717 | 0.4544 |
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+ | No log | 26.54 | 345 | 0.6931 | 0.5358 | 0.5144 |
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+ | No log | 26.92 | 350 | 0.6931 | 0.5342 | 0.5057 |
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+ | No log | 27.31 | 355 | 0.6931 | 0.5292 | 0.5013 |
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+ | No log | 27.69 | 360 | 0.6931 | 0.5325 | 0.5022 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/xlm-v-base",
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+ "architectures": [
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+ "XLMRobertaForMultipleChoice"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "xlm-roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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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": "4.33.3",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 901629
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+ }
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