End of training
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: t5_small_five_epoch
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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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# t5_small_five_epoch
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This model was trained from scratch 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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 2
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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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- num_epochs: 5
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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config.json
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{
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-
"_name_or_path": "
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"architectures": [
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"T5ForConditionalGeneration"
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],
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{
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"_name_or_path": "t5_small_five_epoch",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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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": "4.35.2"
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}
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runs/Jan29_17-10-38_4893cb04a0f2/events.out.tfevents.1706548248.4893cb04a0f2.2305.1
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training_args.bin
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