fine_tuned_boolq_sloberta
Browse files- README.md +69 -0
- config.json +37 -0
- model.safetensors +3 -0
- runs/May23_10-16-00_4f2b50208265/events.out.tfevents.1716459361.4f2b50208265.257.0 +3 -0
- runs/May23_10-16-00_4f2b50208265/events.out.tfevents.1716459442.4f2b50208265.257.1 +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +55 -0
- tokenizer.json +0 -0
- tokenizer_config.json +76 -0
- training_args.bin +3 -0
README.md
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---
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license: cc-by-sa-4.0
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base_model: EMBEDDIA/sloberta
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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: fine_tuned_boolq_sloberta
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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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# fine_tuned_boolq_sloberta
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This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8633
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- Accuracy: 0.6111
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- F1: 0.6255
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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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- training_steps: 400
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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| 0.6442 | 4.1667 | 50 | 0.5523 | 0.7778 | 0.6806 |
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| 0.3817 | 8.3333 | 100 | 1.0475 | 0.5556 | 0.5902 |
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| 0.0355 | 12.5 | 150 | 1.4581 | 0.6111 | 0.6255 |
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| 0.0098 | 16.6667 | 200 | 1.6364 | 0.6111 | 0.6255 |
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| 0.0065 | 20.8333 | 250 | 1.8167 | 0.6111 | 0.6255 |
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| 0.005 | 25.0 | 300 | 1.8363 | 0.6111 | 0.6255 |
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| 0.0043 | 29.1667 | 350 | 1.8635 | 0.6111 | 0.6255 |
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| 0.004 | 33.3333 | 400 | 1.8633 | 0.6111 | 0.6255 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "EMBEDDIA/sloberta",
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"architectures": [
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"CamembertForSequenceClassification"
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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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"gradient_checkpointing": false,
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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": "False",
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"1": "True"
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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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"False": 0,
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"True": 1
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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": "camembert",
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 32005
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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:dba6e07974c67a5c3274491f0b39c8bd283c28d87dc071c81231afa9f618c7ff
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size 442518104
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runs/May23_10-16-00_4f2b50208265/events.out.tfevents.1716459361.4f2b50208265.257.0
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version https://git-lfs.github.com/spec/v1
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runs/May23_10-16-00_4f2b50208265/events.out.tfevents.1716459442.4f2b50208265.257.1
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version https://git-lfs.github.com/spec/v1
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size 457
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:34b589385a2320549143ab23b0ccf82cc99a82685701cdabe0fad847bd0479ff
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size 800013
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special_tokens_map.json
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{
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"additional_special_tokens": [
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}
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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}
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},
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],
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"sp_model_kwargs": {},
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"tokenizer_class": "CamembertTokenizer",
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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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oid sha256:6d7ee8a70465bb5708f2e1a0d587388bb3e5a50d4cb611d5cb061ddb7e0710e5
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size 4984
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