reecursion
commited on
Commit
•
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Parent(s):
6974a10
End of training
Browse files- .gitattributes +1 -0
- README.md +65 -0
- config.json +37 -0
- logs/events.out.tfevents.1711555552.52a895cad9c6.1580.0 +3 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +61 -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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*.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: reecursion/xlm-roberta-base-inspiration
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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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model-index:
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- name: xlm-roberta-base-annotated-uk-inspiration
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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-annotated-uk-inspiration
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This model is a fine-tuned version of [reecursion/xlm-roberta-base-inspiration](https://huggingface.co/reecursion/xlm-roberta-base-inspiration) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4011
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- Accuracy: 0.75
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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: 8
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- eval_batch_size: 8
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.8278 | 1.0 | 20 | 0.5257 | 0.85 |
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| 0.6352 | 2.0 | 40 | 0.4235 | 0.8 |
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| 0.4402 | 3.0 | 60 | 0.3603 | 0.85 |
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| 0.2762 | 4.0 | 80 | 0.3775 | 0.75 |
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| 0.2643 | 5.0 | 100 | 0.4011 | 0.75 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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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": "reecursion/xlm-roberta-base-inspiration",
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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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"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": 0,
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},
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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": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.39.1",
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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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logs/events.out.tfevents.1711555552.52a895cad9c6.1580.0
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size 8964
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model.safetensors
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special_tokens_map.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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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 5048
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