Commit ·
03b9edd
1
Parent(s): 6a67b5b
End of training
Browse files- README.md +83 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: roberta-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: NLP_Capstone
|
| 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 |
+
# NLP_Capstone
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.2591
|
| 21 |
+
- Accuracy: 0.9143
|
| 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: 5e-05
|
| 41 |
+
- train_batch_size: 8
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- num_epochs: 5
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
| 52 |
+
| 0.4283 | 0.2 | 500 | 0.3811 | 0.8715 |
|
| 53 |
+
| 0.397 | 0.4 | 1000 | 0.4590 | 0.8601 |
|
| 54 |
+
| 0.3813 | 0.6 | 1500 | 0.2912 | 0.9103 |
|
| 55 |
+
| 0.3309 | 0.8 | 2000 | 0.2591 | 0.9143 |
|
| 56 |
+
| 0.3138 | 1.0 | 2500 | 0.3744 | 0.9060 |
|
| 57 |
+
| 0.2552 | 1.2 | 3000 | 0.2948 | 0.9070 |
|
| 58 |
+
| 0.2317 | 1.41 | 3500 | 0.3014 | 0.8914 |
|
| 59 |
+
| 0.2592 | 1.61 | 4000 | 0.3275 | 0.9187 |
|
| 60 |
+
| 0.2754 | 1.81 | 4500 | 0.3449 | 0.9133 |
|
| 61 |
+
| 0.242 | 2.01 | 5000 | 0.3925 | 0.9085 |
|
| 62 |
+
| 0.1777 | 2.21 | 5500 | 0.3589 | 0.9213 |
|
| 63 |
+
| 0.1797 | 2.41 | 6000 | 0.4360 | 0.9125 |
|
| 64 |
+
| 0.1775 | 2.61 | 6500 | 0.3475 | 0.9257 |
|
| 65 |
+
| 0.1731 | 2.81 | 7000 | 0.3797 | 0.9249 |
|
| 66 |
+
| 0.1705 | 3.01 | 7500 | 0.3802 | 0.9211 |
|
| 67 |
+
| 0.1271 | 3.21 | 8000 | 0.3827 | 0.9273 |
|
| 68 |
+
| 0.1071 | 3.41 | 8500 | 0.3927 | 0.9281 |
|
| 69 |
+
| 0.0958 | 3.61 | 9000 | 0.4263 | 0.9275 |
|
| 70 |
+
| 0.1123 | 3.81 | 9500 | 0.3773 | 0.9273 |
|
| 71 |
+
| 0.0802 | 4.01 | 10000 | 0.4282 | 0.9293 |
|
| 72 |
+
| 0.0521 | 4.22 | 10500 | 0.4677 | 0.9247 |
|
| 73 |
+
| 0.063 | 4.42 | 11000 | 0.4233 | 0.9267 |
|
| 74 |
+
| 0.069 | 4.62 | 11500 | 0.4097 | 0.9293 |
|
| 75 |
+
| 0.0367 | 4.82 | 12000 | 0.4336 | 0.9283 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- Transformers 4.34.1
|
| 81 |
+
- Pytorch 2.1.0+cu118
|
| 82 |
+
- Datasets 2.14.6
|
| 83 |
+
- 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 498658094
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:05b81f97c2b44a35dc7a9a25c99fd2ba272414250ec802f9fe22a6a8d9d4f9ca
|
| 3 |
size 498658094
|