End of training
Browse files- README.md +49 -0
- generation_config.json +7 -0
- pytorch_model.bin +1 -1
- special_tokens_map.json +5 -0
- spiece.model +3 -0
- tokenizer_config.json +13 -0
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: google/mt5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: testing-lit-simplif
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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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# testing-lit-simplif
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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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: 0.0001
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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: 8
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.33.0"
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}
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pytorch_model.bin
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special_tokens_map.json
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{
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"eos_token": "</s>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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spiece.model
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tokenizer_config.json
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{
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"additional_special_tokens": null,
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 0,
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"tokenizer_file": null,
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"unk_token": "<unk>"
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}
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training_args.bin
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