| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: thenameisdeba/results_mt5 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: mt5v2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # mt5v2 |
|
|
| This model is a fine-tuned version of [thenameisdeba/results_mt5](https://huggingface.co/thenameisdeba/results_mt5) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6690 |
| - Score: 0.1 |
| - Counts: [259, 47, 3, 1] |
| - Totals: [14640, 14057, 13519, 13151] |
| - Precisions: [1.7691256830601092, 0.33435299139218894, 0.022190990457874104, 0.007603984487871644] |
| - Bp: 1.0 |
| - Sys Len: 14640 |
| - Ref Len: 1945 |
| - Gen Len: 117.3533 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Score | Counts | Totals | Precisions | Bp | Sys Len | Ref Len | Gen Len | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:---------------:|:----------------------------:|:-------------------------------------------------------------------------------------:|:---:|:-------:|:-------:|:--------:| |
| | 3.6412 | 0.7622 | 500 | 2.8887 | 0.1453 | [209, 42, 3, 1] | [9552, 8969, 8447, 8153] | [2.1880234505862646, 0.4682796298361021, 0.03551556765715639, 0.012265423770391267] | 1.0 | 9552 | 1945 | 89.7581 | |
| | 3.109 | 1.5244 | 1000 | 2.7566 | 0.0687 | [258, 47, 2, 0] | [16092, 15509, 14949, 14563] | [1.6032811334824757, 0.30304984202721, 0.013378821325841193, 0.0034333585112957493] | 1.0 | 16092 | 1945 | 122.3619 | |
| | 2.764 | 2.2866 | 1500 | 2.6690 | 0.1 | [259, 47, 3, 1] | [14640, 14057, 13519, 13151] | [1.7691256830601092, 0.33435299139218894, 0.022190990457874104, 0.007603984487871644] | 1.0 | 14640 | 1945 | 117.3533 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.7.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.21.1 |
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|
