update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- bleu
|
| 7 |
+
model-index:
|
| 8 |
+
- name: mt5-base-finetuned-modernisa
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# mt5-base-finetuned-modernisa
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.3179
|
| 20 |
+
- Bleu: 81.9164
|
| 21 |
+
- Gen Len: 11.1876
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0001
|
| 41 |
+
- train_batch_size: 4
|
| 42 |
+
- eval_batch_size: 4
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- num_epochs: 3
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|
| 51 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
|
| 52 |
+
| 0.4588 | 0.35 | 10000 | 0.4023 | 78.1616 | 11.1577 |
|
| 53 |
+
| 0.3982 | 0.71 | 20000 | 0.3584 | 79.3456 | 11.144 |
|
| 54 |
+
| 0.3465 | 1.06 | 30000 | 0.3424 | 80.4057 | 11.1625 |
|
| 55 |
+
| 0.3236 | 1.42 | 40000 | 0.3349 | 80.9978 | 11.1869 |
|
| 56 |
+
| 0.2983 | 1.77 | 50000 | 0.3243 | 81.5426 | 11.1925 |
|
| 57 |
+
| 0.278 | 2.13 | 60000 | 0.3210 | 81.794 | 11.2047 |
|
| 58 |
+
| 0.2584 | 2.48 | 70000 | 0.3205 | 81.8086 | 11.1986 |
|
| 59 |
+
| 0.2609 | 2.84 | 80000 | 0.3179 | 81.9164 | 11.1876 |
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
### Framework versions
|
| 63 |
+
|
| 64 |
+
- Transformers 4.13.0.dev0
|
| 65 |
+
- Pytorch 1.10.0+cu111
|
| 66 |
+
- Datasets 1.15.2.dev0
|
| 67 |
+
- Tokenizers 0.10.3
|