sherif1311
commited on
Commit
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End of training
Browse files- README.md +58 -0
- generation_config.json +6 -0
- logs/events.out.tfevents.1691952664.nc0rh0opbd.7108.1 +2 -2
- logs/events.out.tfevents.1691952915.nc0rh0opbd.7108.2 +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -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-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: flan-t5-base-classification_int1
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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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# flan-t5-base-classification_int1
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0036
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- F1: 99.7778
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- Gen Len: 2.3333
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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: 0.0003
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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: 1
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### Training results
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 1.12.1+cu116
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- Datasets 2.14.4
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- Tokenizers 0.12.1
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generation_config.json
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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": "4.31.0"
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}
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logs/events.out.tfevents.1691952664.nc0rh0opbd.7108.1
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size
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size 5611
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logs/events.out.tfevents.1691952915.nc0rh0opbd.7108.2
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special_tokens_map.json
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spiece.model
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version https://git-lfs.github.com/spec/v1
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size 791656
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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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