End of training
Browse files- .gitattributes +1 -0
- README.md +72 -0
- config.json +35 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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base_model: FacebookAI/xlm-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: xlm-roberta-base_lr2e-05_seed42_basic_original_amh-esp-eng_train
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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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# xlm-roberta-base_lr2e-05_seed42_basic_original_amh-esp-eng_train
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0235
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- Spearman Corr: 0.7664
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 128
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
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|:-------------:|:-----:|:----:|:---------------:|:-------------:|
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| No log | 1.59 | 200 | 0.0206 | 0.7629 |
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| 0.0425 | 3.17 | 400 | 0.0185 | 0.7601 |
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| 0.0204 | 4.76 | 600 | 0.0195 | 0.7689 |
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| 0.015 | 6.35 | 800 | 0.0218 | 0.7620 |
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| 0.015 | 7.94 | 1000 | 0.0227 | 0.7695 |
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| 0.0114 | 9.52 | 1200 | 0.0244 | 0.7631 |
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| 0.0091 | 11.11 | 1400 | 0.0294 | 0.7575 |
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| 0.0071 | 12.7 | 1600 | 0.0248 | 0.7604 |
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| 0.0059 | 14.29 | 1800 | 0.0231 | 0.7641 |
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| 0.0059 | 15.87 | 2000 | 0.0260 | 0.7697 |
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| 0.005 | 17.46 | 2200 | 0.0233 | 0.7689 |
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| 0.0042 | 19.05 | 2400 | 0.0235 | 0.7664 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "FacebookAI/xlm-roberta-base",
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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": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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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": 12,
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"num_hidden_layers": 12,
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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": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b3abd649ea53d0e72a75317ed1e9e94a131b75d622f350313a5d42fab4eba8e
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size 1112201932
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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size 5069051
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2116c05e7305eea30394284760789681c5b3440dd4cd9a8c77539da68f9e8a6
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size 17082854
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tokenizer_config.json
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"sep_token": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4728
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