Commit
•
01e8f40
1
Parent(s):
bd0d96d
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
model-index:
|
| 8 |
+
- name: xls-r-es-test-lm-finetuned-sentiment-mesd
|
| 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 |
+
# xls-r-es-test-lm-finetuned-sentiment-mesd
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [glob-asr/xls-r-es-test-lm](https://huggingface.co/glob-asr/xls-r-es-test-lm) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.7851
|
| 20 |
+
- Accuracy: 0.2385
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 1.25e-05
|
| 40 |
+
- train_batch_size: 64
|
| 41 |
+
- eval_batch_size: 40
|
| 42 |
+
- seed: 42
|
| 43 |
+
- gradient_accumulation_steps: 4
|
| 44 |
+
- total_train_batch_size: 256
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 48 |
+
- num_epochs: 20
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 54 |
+
| No log | 0.86 | 3 | 1.7876 | 0.1923 |
|
| 55 |
+
| 1.9709 | 1.86 | 6 | 1.7869 | 0.2 |
|
| 56 |
+
| 1.9709 | 2.86 | 9 | 1.7859 | 0.2308 |
|
| 57 |
+
| 2.146 | 3.86 | 12 | 1.7851 | 0.2385 |
|
| 58 |
+
| 1.9622 | 4.86 | 15 | 1.7842 | 0.1923 |
|
| 59 |
+
| 1.9622 | 5.86 | 18 | 1.7834 | 0.1769 |
|
| 60 |
+
| 2.137 | 6.86 | 21 | 1.7823 | 0.1923 |
|
| 61 |
+
| 2.137 | 7.86 | 24 | 1.7812 | 0.1923 |
|
| 62 |
+
| 2.1297 | 8.86 | 27 | 1.7800 | 0.1846 |
|
| 63 |
+
| 1.9502 | 9.86 | 30 | 1.7787 | 0.1846 |
|
| 64 |
+
| 1.9502 | 10.86 | 33 | 1.7772 | 0.1846 |
|
| 65 |
+
| 2.1234 | 11.86 | 36 | 1.7760 | 0.1846 |
|
| 66 |
+
| 2.1234 | 12.86 | 39 | 1.7748 | 0.1846 |
|
| 67 |
+
| 2.1186 | 13.86 | 42 | 1.7736 | 0.1846 |
|
| 68 |
+
| 1.9401 | 14.86 | 45 | 1.7725 | 0.1846 |
|
| 69 |
+
| 1.9401 | 15.86 | 48 | 1.7715 | 0.1923 |
|
| 70 |
+
| 2.112 | 16.86 | 51 | 1.7706 | 0.1923 |
|
| 71 |
+
| 2.112 | 17.86 | 54 | 1.7701 | 0.1923 |
|
| 72 |
+
| 2.1094 | 18.86 | 57 | 1.7697 | 0.2 |
|
| 73 |
+
| 1.934 | 19.86 | 60 | 1.7696 | 0.2 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- Transformers 4.17.0
|
| 79 |
+
- Pytorch 1.10.0+cu111
|
| 80 |
+
- Datasets 2.0.0
|
| 81 |
+
- Tokenizers 0.11.6
|