Commit
•
c929e00
1
Parent(s):
a47bf56
End of training
Browse files
README.md
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: sentence-transformers/paraphrase-mpnet-base-v2
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
- f1
|
| 9 |
+
model-index:
|
| 10 |
+
- name: mpnet_finetuned
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# mpnet_finetuned
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) on the None dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.2926
|
| 22 |
+
- Accuracy: 0.9367
|
| 23 |
+
- F1: 0.9367
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 0.00011913346592409408
|
| 43 |
+
- train_batch_size: 32
|
| 44 |
+
- eval_batch_size: 16
|
| 45 |
+
- seed: 22
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 4
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
|
| 54 |
+
| No log | 1.0 | 313 | 1.1492 | 0.8442 | 0.8442 |
|
| 55 |
+
| 1.8684 | 2.0 | 626 | 0.4775 | 0.9049 | 0.9049 |
|
| 56 |
+
| 1.8684 | 3.0 | 939 | 0.3382 | 0.9302 | 0.9302 |
|
| 57 |
+
| 0.336 | 4.0 | 1252 | 0.2926 | 0.9367 | 0.9367 |
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
### Framework versions
|
| 61 |
+
|
| 62 |
+
- Transformers 4.39.3
|
| 63 |
+
- Pytorch 2.3.0+cu121
|
| 64 |
+
- Datasets 2.20.0
|
| 65 |
+
- Tokenizers 0.15.2
|
runs/Jul07_20-53-43_d4cb9e68bf6f/events.out.tfevents.1720385911.d4cb9e68bf6f.4931.11
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76ea0a6d1a6b703de8c0fc177cb8582ad12a3f46809e2d3e9eaf53fd17c6045f
|
| 3 |
+
size 457
|