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End of training

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  1. README.md +62 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
  4. tokenizer.json +1 -6
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: flan-t5-base-spelling
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+ results: []
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+ ---
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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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+
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+ # flan-t5-base-spelling
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.3170
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+ - eval_rouge1: 74.8776
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+ - eval_rouge2: 70.3187
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+ - eval_rougeL: 74.6212
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+ - eval_rougeLsum: 74.6923
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+ - eval_gen_len: 18.72
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+ - eval_runtime: 4.3823
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+ - eval_samples_per_second: 22.819
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+ - eval_steps_per_second: 2.282
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+ - epoch: 0.03
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+ - step: 500
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 10
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+ - eval_batch_size: 10
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 40
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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: 1
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
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+ {
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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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