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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/flan-t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: version_1305 |
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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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# version_1305 |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Bp: 0.0692 |
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- Counts: [1132, 692, 368, 143] |
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- Loss: 0.1515 |
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- Precisions: [70.35425730267247, 57.85953177257525, 46.93877551020408, 37.53280839895013] |
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- Ref Len: 5907 |
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- Score: 3.5793 |
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- Sys Len: 1609 |
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- Totals: [1609, 1196, 784, 381] |
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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: 12 |
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- eval_batch_size: 12 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Bp | Counts | Validation Loss | Precisions | Ref Len | Score | Sys Len | Totals | |
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|:-------------:|:-----:|:----:|:------:|:---------------------:|:---------------:|:------------------------------------------------------------------------------:|:-------:|:------:|:-------:|:----------------------:| |
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| 0.1836 | 1.0 | 464 | 0.0693 | [1132, 692, 368, 143] | 0.1625 | [70.31055900621118, 57.811194653299914, 46.87898089171974, 37.43455497382199] | 5907 | 3.5827 | 1610 | [1610, 1197, 785, 382] | |
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| 0.1712 | 2.0 | 928 | 0.0693 | [1136, 696, 371, 145] | 0.1545 | [70.55900621118012, 58.145363408521305, 47.261146496815286, 37.95811518324607] | 5907 | 3.6109 | 1610 | [1610, 1197, 785, 382] | |
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| 0.1626 | 3.0 | 1392 | 0.0692 | [1132, 692, 368, 143] | 0.1515 | [70.35425730267247, 57.85953177257525, 46.93877551020408, 37.53280839895013] | 5907 | 3.5793 | 1609 | [1609, 1196, 784, 381] | |
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### Framework versions |
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- Transformers 4.44.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.19.1 |
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