End of training
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README.md
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---
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license: apache-2.0
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base_model: google/umt5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: umt5-small-finetuned-umt5-poemV1
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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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# umt5-small-finetuned-umt5-poemV1
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This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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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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| No log | 1.0 | 282 | nan |
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| 0.0 | 2.0 | 564 | nan |
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| 0.0 | 3.0 | 846 | nan |
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| 0.0 | 4.0 | 1128 | nan |
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| 0.0 | 5.0 | 1410 | nan |
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| 0.0 | 6.0 | 1692 | nan |
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| 0.0 | 7.0 | 1974 | nan |
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| 0.0 | 8.0 | 2256 | nan |
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| 0.0 | 9.0 | 2538 | nan |
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| 0.0 | 10.0 | 2820 | nan |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"max_new_tokens": 64,
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"pad_token_id": 0,
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"transformers_version": "4.40.2"
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}
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runs/May12_11-51-15_cedd1e017f9b/events.out.tfevents.1715514760.cedd1e017f9b.270.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 9205
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