jalaluddin94
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End of training
Browse files- README.md +58 -0
- config.json +39 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: xlm-roberta-large
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tags:
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- generated_from_trainer
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model-index:
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- name: baseline_nli_xlmr_large_zero_shot
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results: []
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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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# baseline_nli_xlmr_large_zero_shot
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.1406
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- eval_accuracy: 0.2918
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- eval_precision: 0.2918
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- eval_recall: 0.2918
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- eval_f1_score: 0.1318
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- eval_runtime: 139.4721
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- eval_samples_per_second: 15.752
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- eval_steps_per_second: 3.943
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- step: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-06
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 101
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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: 6
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "xlm-roberta-large",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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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": 1024,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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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": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.32.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2783a844b803a01797d1a61e3956ba27998b9bc9ff6c365b448e192893584c9a
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size 2239709617
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:795b95e61ba653116e324d01c4b4198c8a763348adf77e7817b975e1b1f5ae77
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size 4155
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