File size: 1,727 Bytes
90e3e43 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
base_model: heisenberg1337/m2m100_418M_tq_fr
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M_tq_fr_1
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. -->
# m2m100_418M_tq_fr_1
This model is a fine-tuned version of [heisenberg1337/m2m100_418M_tq_fr](https://huggingface.co/heisenberg1337/m2m100_418M_tq_fr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8665
- Bleu: 5.8216
## 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: 5e-06
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8405 | 0.97 | 100 | 0.8682 | 5.4390 |
| 0.8303 | 1.94 | 200 | 0.8661 | 5.3736 |
| 0.8245 | 2.91 | 300 | 0.8616 | 5.5394 |
| 0.807 | 3.87 | 400 | 0.8632 | 5.4620 |
| 0.7954 | 4.84 | 500 | 0.8637 | 5.6718 |
| 0.7827 | 5.81 | 600 | 0.8665 | 5.8216 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
|