Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/mt5-large
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: mt5_large_lr3e-05_bs4_ep3
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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_large_lr3e-05_bs4_ep3
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This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4810
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- Precision: 0.6887
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- Recall: 0.2946
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- F1: 0.4127
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- Accuracy: 0.8063
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.926 | 1.0 | 860 | 0.5150 | 0.7078 | 0.1380 | 0.2310 | 0.7877 |
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| 0.5082 | 2.0 | 1720 | 0.4233 | 0.6442 | 0.4180 | 0.5070 | 0.8122 |
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| 0.4551 | 3.0 | 2580 | 0.4810 | 0.6887 | 0.2946 | 0.4127 | 0.8063 |
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### Framework versions
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- Transformers 4.50.0
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- Pytorch 2.6.0
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- Datasets 3.4.1
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- Tokenizers 0.21.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 2257824504
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version https://git-lfs.github.com/spec/v1
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size 2257824504
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