Upload README.md
Browse files
README.md
CHANGED
|
@@ -7,9 +7,14 @@ model-index:
|
|
| 7 |
results: []
|
| 8 |
---
|
| 9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on an unknown dataset.
|
| 11 |
It achieves the following results on the evaluation set:
|
| 12 |
-
- Loss: 0.
|
| 13 |
|
| 14 |
## Model description
|
| 15 |
|
|
@@ -29,7 +34,7 @@ More information needed
|
|
| 29 |
|
| 30 |
The following hyperparameters were used during training:
|
| 31 |
- learning_rate: 5e-05
|
| 32 |
-
- train_batch_size:
|
| 33 |
- eval_batch_size: 8
|
| 34 |
- seed: 42
|
| 35 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
@@ -38,19 +43,11 @@ The following hyperparameters were used during training:
|
|
| 38 |
|
| 39 |
### Training results
|
| 40 |
|
| 41 |
-
### Eval metrics
|
| 42 |
|
| 43 |
-
epoch = 3.0
|
| 44 |
-
eval_loss = 0.8031
|
| 45 |
-
eval_runtime = 0:02:17.77
|
| 46 |
-
eval_samples = 134
|
| 47 |
-
eval_samples_per_second = 0.973
|
| 48 |
-
eval_steps_per_second = 0.123
|
| 49 |
-
perplexity = 2.2325
|
| 50 |
|
| 51 |
### Framework versions
|
| 52 |
|
| 53 |
- Transformers 4.13.0.dev0
|
| 54 |
- Pytorch 1.10.0+cu102
|
| 55 |
- Datasets 1.16.1
|
| 56 |
-
- Tokenizers 0.10.3
|
|
|
|
| 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 |
+
# result
|
| 14 |
+
|
| 15 |
This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.7570
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 34 |
|
| 35 |
The following hyperparameters were used during training:
|
| 36 |
- learning_rate: 5e-05
|
| 37 |
+
- train_batch_size: 4
|
| 38 |
- eval_batch_size: 8
|
| 39 |
- seed: 42
|
| 40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
|
|
| 43 |
|
| 44 |
### Training results
|
| 45 |
|
|
|
|
| 46 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
|
| 48 |
### Framework versions
|
| 49 |
|
| 50 |
- Transformers 4.13.0.dev0
|
| 51 |
- Pytorch 1.10.0+cu102
|
| 52 |
- Datasets 1.16.1
|
| 53 |
+
- Tokenizers 0.10.3
|