End of training
Browse files- README.md +71 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: PlanTL-GOB-ES/roberta-base-bne
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- f1
|
| 8 |
+
- recall
|
| 9 |
+
- accuracy
|
| 10 |
+
- precision
|
| 11 |
+
model-index:
|
| 12 |
+
- name: roberta-base-fine-tuned-text-classificarion-ds-ss3
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# roberta-base-fine-tuned-text-classificarion-ds-ss3
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 1.0250
|
| 24 |
+
- F1: 0.7788
|
| 25 |
+
- Recall: 0.7819
|
| 26 |
+
- Accuracy: 0.7819
|
| 27 |
+
- Precision: 0.7902
|
| 28 |
+
|
| 29 |
+
## Model description
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Intended uses & limitations
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training and evaluation data
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Training procedure
|
| 42 |
+
|
| 43 |
+
### Training hyperparameters
|
| 44 |
+
|
| 45 |
+
The following hyperparameters were used during training:
|
| 46 |
+
- learning_rate: 2e-05
|
| 47 |
+
- train_batch_size: 16
|
| 48 |
+
- eval_batch_size: 16
|
| 49 |
+
- seed: 42
|
| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: linear
|
| 52 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 53 |
+
- num_epochs: 5
|
| 54 |
+
|
| 55 |
+
### Training results
|
| 56 |
+
|
| 57 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision |
|
| 58 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
|
| 59 |
+
| No log | 1.0 | 442 | 1.4320 | 0.6547 | 0.6927 | 0.6927 | 0.6529 |
|
| 60 |
+
| 2.1286 | 2.0 | 884 | 1.1279 | 0.7089 | 0.7386 | 0.7386 | 0.7006 |
|
| 61 |
+
| 1.0149 | 3.0 | 1326 | 1.0204 | 0.7350 | 0.7513 | 0.7513 | 0.7355 |
|
| 62 |
+
| 0.6117 | 4.0 | 1768 | 0.9823 | 0.7552 | 0.7698 | 0.7698 | 0.7724 |
|
| 63 |
+
| 0.3659 | 5.0 | 2210 | 1.0250 | 0.7788 | 0.7819 | 0.7819 | 0.7902 |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.33.1
|
| 69 |
+
- Pytorch 2.0.1+cu118
|
| 70 |
+
- Datasets 2.14.5
|
| 71 |
+
- Tokenizers 0.13.3
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498811441
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba0765b5483667ecf76ad4b19b57ff99c7a4305730548dc48b6b7128cbc3d984
|
| 3 |
size 498811441
|