End of training
Browse files
README.md
CHANGED
|
@@ -3,8 +3,6 @@ license: cc-by-sa-4.0
|
|
| 3 |
base_model: raminass/scotus-v10
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
-
metrics:
|
| 7 |
-
- accuracy
|
| 8 |
model-index:
|
| 9 |
- name: 94-23
|
| 10 |
results: []
|
|
@@ -17,8 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
-
-
|
| 21 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
@@ -38,26 +41,13 @@ More information needed
|
|
| 38 |
|
| 39 |
The following hyperparameters were used during training:
|
| 40 |
- learning_rate: 2e-05
|
| 41 |
-
- train_batch_size:
|
| 42 |
-
- eval_batch_size:
|
| 43 |
- seed: 42
|
| 44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
- lr_scheduler_type: linear
|
| 46 |
- num_epochs: 7
|
| 47 |
|
| 48 |
-
### Training results
|
| 49 |
-
|
| 50 |
-
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
-
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 52 |
-
| No log | 1.0 | 439 | 1.3384 | 0.5894 |
|
| 53 |
-
| 1.3255 | 2.0 | 878 | 1.1154 | 0.6451 |
|
| 54 |
-
| 0.6108 | 3.0 | 1317 | 1.1015 | 0.6813 |
|
| 55 |
-
| 0.2799 | 4.0 | 1756 | 1.4661 | 0.6256 |
|
| 56 |
-
| 0.1349 | 5.0 | 2195 | 1.3456 | 0.6749 |
|
| 57 |
-
| 0.0696 | 6.0 | 2634 | 1.5350 | 0.6477 |
|
| 58 |
-
| 0.0405 | 7.0 | 3073 | 1.5666 | 0.6516 |
|
| 59 |
-
|
| 60 |
-
|
| 61 |
### Framework versions
|
| 62 |
|
| 63 |
- Transformers 4.35.2
|
|
|
|
| 3 |
base_model: raminass/scotus-v10
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: 94-23
|
| 8 |
results: []
|
|
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- eval_loss: 1.1690
|
| 19 |
+
- eval_accuracy: 0.7526
|
| 20 |
+
- eval_runtime: 32.6521
|
| 21 |
+
- eval_samples_per_second: 104.128
|
| 22 |
+
- eval_steps_per_second: 6.523
|
| 23 |
+
- epoch: 3.0
|
| 24 |
+
- step: 3189
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
|
|
|
| 41 |
|
| 42 |
The following hyperparameters were used during training:
|
| 43 |
- learning_rate: 2e-05
|
| 44 |
+
- train_batch_size: 16
|
| 45 |
+
- eval_batch_size: 16
|
| 46 |
- seed: 42
|
| 47 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
- lr_scheduler_type: linear
|
| 49 |
- num_epochs: 7
|
| 50 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
### Framework versions
|
| 52 |
|
| 53 |
- Transformers 4.35.2
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 140320668
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8fff98fea6b0eef4484173aff8598fd8815d11b2101d5d4695e971eb4a4dfcfe
|
| 3 |
size 140320668
|
runs/Dec31_07-46-08_fc18f450e6b0/events.out.tfevents.1704008769.fc18f450e6b0.797.0
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 sha256:848b94264931bda8c36515f31fec716b4d9d3d720e90b85de19a93863bc9a3aa
|
| 3 |
+
size 7064
|