Training completed!
Browse files- README.md +72 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: xlnet-large-cased
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- f1
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
|
| 11 |
+
- name: CS221-xlnet-large-cased-finetuned-semeval-aug
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# CS221-xlnet-large-cased-finetuned-semeval-aug
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.3323
|
| 23 |
+
- F1: 0.7655
|
| 24 |
+
- Roc Auc: 0.8218
|
| 25 |
+
- Accuracy: 0.5483
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 2e-05
|
| 45 |
+
- train_batch_size: 16
|
| 46 |
+
- eval_batch_size: 16
|
| 47 |
+
- seed: 42
|
| 48 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 49 |
+
- lr_scheduler_type: cosine
|
| 50 |
+
- lr_scheduler_warmup_steps: 100
|
| 51 |
+
- num_epochs: 20
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
|
| 57 |
+
| 0.5847 | 1.0 | 277 | 0.5747 | 0.1535 | 0.5011 | 0.1409 |
|
| 58 |
+
| 0.5058 | 2.0 | 554 | 0.4907 | 0.3674 | 0.5986 | 0.2367 |
|
| 59 |
+
| 0.3991 | 3.0 | 831 | 0.4118 | 0.5551 | 0.6989 | 0.3921 |
|
| 60 |
+
| 0.3316 | 4.0 | 1108 | 0.3466 | 0.7102 | 0.7920 | 0.4770 |
|
| 61 |
+
| 0.2593 | 5.0 | 1385 | 0.3323 | 0.7655 | 0.8218 | 0.5483 |
|
| 62 |
+
| 0.1562 | 6.0 | 1662 | 0.3410 | 0.7838 | 0.8322 | 0.5962 |
|
| 63 |
+
| 0.1033 | 7.0 | 1939 | 0.3470 | 0.8023 | 0.8499 | 0.6134 |
|
| 64 |
+
| 0.0641 | 8.0 | 2216 | 0.3608 | 0.8102 | 0.8583 | 0.6314 |
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
### Framework versions
|
| 68 |
+
|
| 69 |
+
- Transformers 4.47.1
|
| 70 |
+
- Pytorch 2.5.1+cu121
|
| 71 |
+
- Datasets 3.2.0
|
| 72 |
+
- Tokenizers 0.21.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1445339812
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4509f58f7ac455b55d3b8fd597cdf86952545eb5266f6dfac145be3869ce91d
|
| 3 |
size 1445339812
|