End of training
Browse files- README.md +60 -0
- config.json +1 -1
- logs/events.out.tfevents.1727146455.2e5257da9dc4.36.0 +3 -0
- merges.txt +0 -0
- model.safetensors +1 -1
- special_tokens_map.json +51 -0
- tokenizer_config.json +56 -0
- training_args.bin +1 -1
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: 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: robertolli
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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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# robertolli
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.2551
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- eval_accuracy: 0.0415
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- eval_f1: 0.0033
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- eval_runtime: 1781.7772
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- eval_samples_per_second: 58.722
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- eval_steps_per_second: 0.196
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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: 5e-05
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- train_batch_size: 300
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- eval_batch_size: 300
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 600
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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: 7
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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config.json
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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": "4.44.
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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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": "4.44.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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logs/events.out.tfevents.1727146455.2e5257da9dc4.36.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ace4f7c896c39e7d8da47333758024717559892389fb5ed55659dd963c4d0272
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size 389
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merges.txt
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See raw diff
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model.safetensors
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"lstrip": false,
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"single_word": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"special": true
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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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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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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:
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size 5176
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version https://git-lfs.github.com/spec/v1
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size 5176
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vocab.json
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