End of training
Browse files- README.md +75 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: xlm-roberta-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: finetuned_roberta-base
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# finetuned_roberta-base
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.2574
|
| 21 |
+
- Accuracy: 0.6033
|
| 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: 2e-05
|
| 41 |
+
- train_batch_size: 32
|
| 42 |
+
- eval_batch_size: 32
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 47 |
+
- num_epochs: 15
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 52 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 53 |
+
| 1.48 | 1.0 | 75 | 1.4001 | 0.41 |
|
| 54 |
+
| 1.2847 | 2.0 | 150 | 1.1993 | 0.58 |
|
| 55 |
+
| 1.1522 | 3.0 | 225 | 1.0007 | 0.6333 |
|
| 56 |
+
| 0.9921 | 4.0 | 300 | 0.9189 | 0.66 |
|
| 57 |
+
| 0.9104 | 5.0 | 375 | 0.8855 | 0.69 |
|
| 58 |
+
| 0.8371 | 6.0 | 450 | 0.9431 | 0.6767 |
|
| 59 |
+
| 0.699 | 7.0 | 525 | 0.9500 | 0.6633 |
|
| 60 |
+
| 0.6872 | 8.0 | 600 | 0.9728 | 0.7033 |
|
| 61 |
+
| 0.5867 | 9.0 | 675 | 0.9939 | 0.6867 |
|
| 62 |
+
| 0.5323 | 10.0 | 750 | 1.1115 | 0.69 |
|
| 63 |
+
| 0.4066 | 11.0 | 825 | 1.2031 | 0.6667 |
|
| 64 |
+
| 0.3517 | 12.0 | 900 | 1.2193 | 0.65 |
|
| 65 |
+
| 0.3114 | 13.0 | 975 | 1.2281 | 0.67 |
|
| 66 |
+
| 0.3102 | 14.0 | 1050 | 1.2691 | 0.67 |
|
| 67 |
+
| 0.2681 | 15.0 | 1125 | 1.2818 | 0.6633 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.34.1
|
| 73 |
+
- Pytorch 2.1.0+cu118
|
| 74 |
+
- Datasets 2.14.6
|
| 75 |
+
- Tokenizers 0.14.1
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1112262446
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7bf595dd095840df22c319da4f112ec349803e6f542ddc43b63253fc0707840
|
| 3 |
size 1112262446
|