Commit
•
9cf5f89
1
Parent(s):
7e8d580
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
model-index:
|
| 6 |
+
- name: git-base-dummy-3
|
| 7 |
+
results: []
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
+
|
| 13 |
+
# git-base-dummy-3
|
| 14 |
+
|
| 15 |
+
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.4161
|
| 18 |
+
- Wer Score: 2.0379
|
| 19 |
+
|
| 20 |
+
## Model description
|
| 21 |
+
|
| 22 |
+
More information needed
|
| 23 |
+
|
| 24 |
+
## Intended uses & limitations
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Training and evaluation data
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training procedure
|
| 33 |
+
|
| 34 |
+
### Training hyperparameters
|
| 35 |
+
|
| 36 |
+
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 5e-05
|
| 38 |
+
- train_batch_size: 8
|
| 39 |
+
- eval_batch_size: 8
|
| 40 |
+
- seed: 42
|
| 41 |
+
- gradient_accumulation_steps: 4
|
| 42 |
+
- total_train_batch_size: 32
|
| 43 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
+
- lr_scheduler_type: linear
|
| 45 |
+
- num_epochs: 50
|
| 46 |
+
|
| 47 |
+
### Training results
|
| 48 |
+
|
| 49 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|
| 50 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|
|
| 51 |
+
| 7.0698 | 3.23 | 50 | 4.5086 | 2.5298 |
|
| 52 |
+
| 2.6252 | 6.45 | 100 | 0.9823 | 2.2976 |
|
| 53 |
+
| 0.5497 | 9.68 | 150 | 0.4681 | 1.6707 |
|
| 54 |
+
| 0.2558 | 12.9 | 200 | 0.4162 | 1.7907 |
|
| 55 |
+
| 0.1551 | 16.13 | 250 | 0.4052 | 2.0984 |
|
| 56 |
+
| 0.1041 | 19.35 | 300 | 0.4054 | 2.0984 |
|
| 57 |
+
| 0.0764 | 22.58 | 350 | 0.4088 | 2.0576 |
|
| 58 |
+
| 0.0581 | 25.81 | 400 | 0.4054 | 2.0899 |
|
| 59 |
+
| 0.0462 | 29.03 | 450 | 0.4092 | 2.0484 |
|
| 60 |
+
| 0.0382 | 32.26 | 500 | 0.4118 | 2.1387 |
|
| 61 |
+
| 0.0329 | 35.48 | 550 | 0.4126 | 2.1315 |
|
| 62 |
+
| 0.0275 | 38.71 | 600 | 0.4139 | 2.0114 |
|
| 63 |
+
| 0.0255 | 41.94 | 650 | 0.4173 | 2.0098 |
|
| 64 |
+
| 0.0234 | 45.16 | 700 | 0.4155 | 2.0206 |
|
| 65 |
+
| 0.0226 | 48.39 | 750 | 0.4161 | 2.0379 |
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
### Framework versions
|
| 69 |
+
|
| 70 |
+
- Transformers 4.30.2
|
| 71 |
+
- Pytorch 2.0.1+cu118
|
| 72 |
+
- Datasets 2.14.3
|
| 73 |
+
- Tokenizers 0.13.3
|