Commit
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Parent(s):
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End of training
Browse files- README.md +48 -2
- generation_config.json +1 -1
- model.safetensors +1 -1
README.md
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# donut-base-vishnu
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This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
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## Model description
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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:
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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# donut-base-vishnu
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This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3250
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## Model description
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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: 50
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.9387 | 1.0 | 127 | 2.0237 |
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| 0.8381 | 2.0 | 254 | 1.3332 |
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| 1.4923 | 3.0 | 381 | 1.1110 |
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| 0.9061 | 4.0 | 508 | 0.9530 |
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| 0.4627 | 5.0 | 635 | 0.9156 |
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| 0.4305 | 6.0 | 762 | 0.7884 |
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| 0.4383 | 7.0 | 889 | 0.6936 |
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| 0.1852 | 8.0 | 1016 | 0.6715 |
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| 0.2348 | 9.0 | 1143 | 0.6209 |
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| 0.3975 | 10.0 | 1270 | 0.5614 |
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| 0.1548 | 11.0 | 1397 | 0.5152 |
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| 0.0377 | 12.0 | 1524 | 0.5135 |
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| 0.043 | 13.0 | 1651 | 0.4759 |
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| 0.0698 | 14.0 | 1778 | 0.4697 |
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| 0.0292 | 15.0 | 1905 | 0.4243 |
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| 0.0516 | 16.0 | 2032 | 0.4594 |
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| 0.2062 | 17.0 | 2159 | 0.4332 |
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| 0.0307 | 18.0 | 2286 | 0.4030 |
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| 0.0775 | 19.0 | 2413 | 0.4069 |
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| 0.0157 | 20.0 | 2540 | 0.4111 |
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| 0.0137 | 21.0 | 2667 | 0.4072 |
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| 0.0148 | 22.0 | 2794 | 0.3938 |
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| 0.0454 | 23.0 | 2921 | 0.3789 |
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| 0.0023 | 24.0 | 3048 | 0.3864 |
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| 0.0033 | 25.0 | 3175 | 0.3750 |
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| 0.0292 | 26.0 | 3302 | 0.3847 |
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| 0.0087 | 27.0 | 3429 | 0.3592 |
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| 0.0032 | 28.0 | 3556 | 0.3665 |
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| 0.0048 | 29.0 | 3683 | 0.3372 |
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| 0.0035 | 30.0 | 3810 | 0.3349 |
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| 0.0197 | 31.0 | 3937 | 0.3591 |
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| 0.0006 | 32.0 | 4064 | 0.3504 |
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| 0.0016 | 33.0 | 4191 | 0.3450 |
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| 0.0006 | 34.0 | 4318 | 0.3505 |
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| 0.0046 | 35.0 | 4445 | 0.3332 |
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| 0.0045 | 36.0 | 4572 | 0.3206 |
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| 0.0006 | 37.0 | 4699 | 0.3361 |
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| 0.0039 | 38.0 | 4826 | 0.3348 |
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| 0.0059 | 39.0 | 4953 | 0.3328 |
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| 0.0039 | 40.0 | 5080 | 0.3406 |
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| 0.0014 | 41.0 | 5207 | 0.3250 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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generation_config.json
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.
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}
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.35.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 809234584
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:a46fbb808ae084d7b959bd360f0b068ce768fbbdef06282fbf1f08b41afbf361
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size 809234584
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