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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
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 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.1
|