End of training
Browse files
README.md
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: LiYuan/amazon-review-sentiment-analysis
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
model-index:
|
| 7 |
+
- name: FineTuned_NewAmazonReview2
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# FineTuned_NewAmazonReview2
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [LiYuan/amazon-review-sentiment-analysis](https://huggingface.co/LiYuan/amazon-review-sentiment-analysis) on an unknown dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.8358
|
| 19 |
+
|
| 20 |
+
## Model description
|
| 21 |
+
|
| 22 |
+
More information needed
|
| 23 |
+
|
| 24 |
+
## Intended uses & limitations
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Training and evaluation data
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training procedure
|
| 33 |
+
|
| 34 |
+
### Training hyperparameters
|
| 35 |
+
|
| 36 |
+
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 2e-05
|
| 38 |
+
- train_batch_size: 16
|
| 39 |
+
- eval_batch_size: 16
|
| 40 |
+
- seed: 42
|
| 41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 42 |
+
- lr_scheduler_type: linear
|
| 43 |
+
- num_epochs: 2
|
| 44 |
+
|
| 45 |
+
### Training results
|
| 46 |
+
|
| 47 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 48 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 49 |
+
| 1.0138 | 0.1 | 500 | 1.0133 |
|
| 50 |
+
| 0.9798 | 0.2 | 1000 | 0.9427 |
|
| 51 |
+
| 0.9808 | 0.3 | 1500 | 0.9525 |
|
| 52 |
+
| 0.927 | 0.4 | 2000 | 0.9319 |
|
| 53 |
+
| 0.9201 | 0.5 | 2500 | 0.9614 |
|
| 54 |
+
| 0.933 | 0.6 | 3000 | 0.9032 |
|
| 55 |
+
| 0.911 | 0.7 | 3500 | 0.8853 |
|
| 56 |
+
| 0.8831 | 0.8 | 4000 | 0.8803 |
|
| 57 |
+
| 0.8778 | 0.9 | 4500 | 0.8814 |
|
| 58 |
+
| 0.8954 | 1.0 | 5000 | 0.8509 |
|
| 59 |
+
| 0.7525 | 1.1 | 5500 | 0.8722 |
|
| 60 |
+
| 0.7518 | 1.2 | 6000 | 0.8817 |
|
| 61 |
+
| 0.7552 | 1.3 | 6500 | 0.8613 |
|
| 62 |
+
| 0.7508 | 1.4 | 7000 | 0.8773 |
|
| 63 |
+
| 0.7389 | 1.5 | 7500 | 0.8524 |
|
| 64 |
+
| 0.7233 | 1.6 | 8000 | 0.8492 |
|
| 65 |
+
| 0.7315 | 1.7 | 8500 | 0.8498 |
|
| 66 |
+
| 0.7213 | 1.8 | 9000 | 0.8394 |
|
| 67 |
+
| 0.711 | 1.9 | 9500 | 0.8351 |
|
| 68 |
+
| 0.7109 | 2.0 | 10000 | 0.8358 |
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
### Framework versions
|
| 72 |
+
|
| 73 |
+
- Transformers 4.36.2
|
| 74 |
+
- Pytorch 2.1.0+cu121
|
| 75 |
+
- Datasets 2.16.1
|
| 76 |
+
- Tokenizers 0.15.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 669464588
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a6508b337f893a48db6a81293fdc10701c805e22ceeba8f6f5fc794faf7d64ab
|
| 3 |
size 669464588
|
runs/Jan11_12-29-48_cfab1d80e6c6/events.out.tfevents.1704976189.cfab1d80e6c6.1886.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0cc676e46c38dccc5cd3ac904fbb69456f2d128747764c6903a3aea7f20a575
|
| 3 |
+
size 13913
|