Instructions to use a2ran/FingerFriend-t5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a2ran/FingerFriend-t5-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("a2ran/FingerFriend-t5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("a2ran/FingerFriend-t5-base-v1") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +28 -7
- config.json +1 -1
- generation_config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [eenzeenee/t5-base-korean-summarization](https://huggingface.co/eenzeenee/t5-base-korean-summarization) on the None dataset.
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It achieves the following results on the evaluation set:
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### Training hyperparameters
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Framework versions
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- Transformers 4.33.
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [eenzeenee/t5-base-korean-summarization](https://huggingface.co/eenzeenee/t5-base-korean-summarization) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6214
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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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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.2945 | 1.0 | 1735 | 0.7757 |
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| 0.8016 | 2.0 | 3470 | 0.6987 |
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| 0.7058 | 3.0 | 5205 | 0.6617 |
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| 0.6402 | 4.0 | 6940 | 0.6387 |
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| 0.5864 | 5.0 | 8675 | 0.6283 |
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| 0.5476 | 6.0 | 10410 | 0.6214 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.33.
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"use_cache": true,
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"vocab_size": 50358
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}
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.33.3",
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"use_cache": true,
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"vocab_size": 50358
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}
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generation_config.json
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"eos_token_id": 1,
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"max_length": 128,
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"pad_token_id": 0,
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"transformers_version": "4.33.
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}
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"eos_token_id": 1,
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"max_length": 128,
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"pad_token_id": 0,
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"transformers_version": "4.33.3"
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}
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pytorch_model.bin
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training_args.bin
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