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scenario-TCR-XLMV-XCOPA-3_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 +116 -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-3_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-3_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: 0.5233
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+ - F1: 0.4938
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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: 48
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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 | 0.6932 | 0.5042 | 0.4875 |
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+ | No log | 0.77 | 10 | 0.6932 | 0.5075 | 0.4883 |
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+ | No log | 1.15 | 15 | 0.6931 | 0.5342 | 0.5169 |
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+ | No log | 1.54 | 20 | 0.6931 | 0.525 | 0.5120 |
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+ | No log | 1.92 | 25 | 0.6931 | 0.5033 | 0.4966 |
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+ | No log | 2.31 | 30 | 0.6931 | 0.5333 | 0.5189 |
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+ | No log | 2.69 | 35 | 0.6937 | 0.4692 | 0.4287 |
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+ | No log | 3.08 | 40 | 0.6930 | 0.5375 | 0.5277 |
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+ | No log | 3.46 | 45 | 0.6931 | 0.5317 | 0.5180 |
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+ | No log | 3.85 | 50 | 0.6933 | 0.5075 | 0.4865 |
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+ | No log | 4.23 | 55 | 0.6931 | 0.5325 | 0.5075 |
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+ | No log | 4.62 | 60 | 0.6931 | 0.5317 | 0.5164 |
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+ | No log | 5.0 | 65 | 0.6931 | 0.5233 | 0.5069 |
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+ | No log | 5.38 | 70 | 0.6931 | 0.5058 | 0.4875 |
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+ | No log | 5.77 | 75 | 0.6931 | 0.4867 | 0.4596 |
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+ | No log | 6.15 | 80 | 0.6931 | 0.4967 | 0.4739 |
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+ | No log | 6.54 | 85 | 0.6931 | 0.4883 | 0.4642 |
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+ | No log | 6.92 | 90 | 0.6931 | 0.4667 | 0.4502 |
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+ | No log | 7.31 | 95 | 0.6931 | 0.49 | 0.4715 |
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+ | No log | 7.69 | 100 | 0.6931 | 0.5208 | 0.5064 |
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+ | No log | 8.08 | 105 | 0.6931 | 0.5275 | 0.5108 |
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+ | No log | 8.46 | 110 | 0.6931 | 0.5058 | 0.4910 |
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+ | No log | 8.85 | 115 | 0.6931 | 0.5058 | 0.4803 |
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+ | No log | 9.23 | 120 | 0.6931 | 0.5225 | 0.4987 |
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+ | No log | 9.62 | 125 | 0.6931 | 0.5442 | 0.5280 |
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+ | No log | 10.0 | 130 | 0.6931 | 0.5075 | 0.4700 |
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+ | No log | 10.38 | 135 | 0.6931 | 0.5242 | 0.4969 |
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+ | No log | 10.77 | 140 | 0.6931 | 0.5058 | 0.4839 |
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+ | No log | 11.15 | 145 | 0.6931 | 0.5067 | 0.4879 |
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+ | No log | 11.54 | 150 | 0.6931 | 0.5075 | 0.4910 |
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+ | No log | 11.92 | 155 | 0.6931 | 0.5083 | 0.4887 |
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+ | No log | 12.31 | 160 | 0.6931 | 0.5375 | 0.5186 |
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+ | No log | 12.69 | 165 | 0.6931 | 0.5417 | 0.5234 |
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+ | No log | 13.08 | 170 | 0.6931 | 0.5375 | 0.5161 |
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+ | No log | 13.46 | 175 | 0.6931 | 0.545 | 0.5277 |
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+ | No log | 13.85 | 180 | 0.6931 | 0.5433 | 0.5243 |
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+ | No log | 14.23 | 185 | 0.6931 | 0.545 | 0.5269 |
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+ | No log | 14.62 | 190 | 0.6931 | 0.5442 | 0.5248 |
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+ | No log | 15.0 | 195 | 0.6931 | 0.5367 | 0.5131 |
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+ | No log | 15.38 | 200 | 0.6931 | 0.5275 | 0.5004 |
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+ | No log | 15.77 | 205 | 0.6931 | 0.5142 | 0.4854 |
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+ | No log | 16.15 | 210 | 0.6931 | 0.5117 | 0.4878 |
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+ | No log | 16.54 | 215 | 0.6931 | 0.5167 | 0.4903 |
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+ | No log | 16.92 | 220 | 0.6931 | 0.5208 | 0.4943 |
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+ | No log | 17.31 | 225 | 0.6931 | 0.5233 | 0.4974 |
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+ | No log | 17.69 | 230 | 0.6931 | 0.5292 | 0.5022 |
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+ | No log | 18.08 | 235 | 0.6931 | 0.5317 | 0.5070 |
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+ | No log | 18.46 | 240 | 0.6931 | 0.5233 | 0.5000 |
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+ | No log | 18.85 | 245 | 0.6931 | 0.5192 | 0.4969 |
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+ | No log | 19.23 | 250 | 0.6931 | 0.5208 | 0.4952 |
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+ | No log | 19.62 | 255 | 0.6931 | 0.5217 | 0.4947 |
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+ | No log | 20.0 | 260 | 0.6931 | 0.5225 | 0.4978 |
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+ | No log | 20.38 | 265 | 0.6931 | 0.5258 | 0.4996 |
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+ | No log | 20.77 | 270 | 0.6931 | 0.52 | 0.4912 |
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+ | No log | 21.15 | 275 | 0.6931 | 0.5233 | 0.4938 |
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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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