End of training
Browse files- README.md +63 -0
- runs/Jul05_08-30-34_f4bd1c8716db/events.out.tfevents.1688545841.f4bd1c8716db.7235.2 +2 -2
- special_tokens_map.json +107 -0
- tokenizer.json +0 -0
- tokenizer_config.json +112 -0
README.md
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---
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license: apache-2.0
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base_model: google/flan-t5-large
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tags:
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- generated_from_trainer
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model-index:
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- name: output5
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results: []
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library_name: peft
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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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# output5
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3572
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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: 0.001
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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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 40 | 0.3381 |
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| No log | 2.0 | 80 | 0.4482 |
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| No log | 3.0 | 120 | 0.2453 |
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| No log | 4.0 | 160 | 0.2917 |
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| No log | 5.0 | 200 | 0.3572 |
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### Framework versions
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- PEFT 0.4.0.dev0
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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runs/Jul05_08-30-34_f4bd1c8716db/events.out.tfevents.1688545841.f4bd1c8716db.7235.2
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 5831
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special_tokens_map.json
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{
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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}
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