Training complete
Browse files- README.md +71 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: google/mt5-small
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tags:
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- summarization
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: mt5-small-finetuned-long-sumeczech
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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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# mt5-small-finetuned-long-sumeczech
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8402
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- Rouge1: 10.751
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- Rouge2: 2.1081
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- Rougel: 8.2982
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- Rougelsum: 9.5911
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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: 5.6e-05
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:------:|:---------:|
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| 3.5441 | 1.0 | 15064 | 3.0664 | 11.0135 | 1.7163 | 8.2892 | 9.7803 |
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| 3.4047 | 2.0 | 30128 | 2.9725 | 10.5507 | 1.8535 | 8.0843 | 9.3876 |
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| 3.2782 | 3.0 | 45192 | 2.9240 | 10.5563 | 1.9566 | 8.1144 | 9.4192 |
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| 3.2035 | 4.0 | 60256 | 2.8895 | 10.5418 | 2.0105 | 8.132 | 9.3701 |
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| 3.1538 | 5.0 | 75320 | 2.8712 | 10.6085 | 1.9954 | 8.1587 | 9.4499 |
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| 3.1197 | 6.0 | 90384 | 2.8562 | 10.6394 | 2.0582 | 8.1855 | 9.4841 |
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| 3.0976 | 7.0 | 105448 | 2.8439 | 10.7537 | 2.0754 | 8.2822 | 9.5754 |
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| 3.0849 | 8.0 | 120512 | 2.8402 | 10.751 | 2.1081 | 8.2982 | 9.5911 |
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### Framework versions
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- Transformers 4.34.1
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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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{
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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": "4.34.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1200773058
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version https://git-lfs.github.com/spec/v1
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oid sha256:b772ec57565869f3ea1b4082a36081970d2ea363e7004e79684a9f3b72be64d7
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size 1200773058
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