End of training
Browse files- README.md +21 -1
- model.safetensors +1 -1
README.md
CHANGED
@@ -3,6 +3,8 @@ license: mit
|
|
3 |
base_model: microsoft/git-base
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
model-index:
|
7 |
- name: GIT_inf_only_ep5
|
8 |
results: []
|
@@ -14,6 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
# GIT_inf_only_ep5
|
15 |
|
16 |
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
|
18 |
## Model description
|
19 |
|
@@ -34,13 +43,24 @@ More information needed
|
|
34 |
The following hyperparameters were used during training:
|
35 |
- learning_rate: 5e-05
|
36 |
- train_batch_size: 16
|
37 |
-
- eval_batch_size:
|
38 |
- seed: 42
|
39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
40 |
- lr_scheduler_type: linear
|
41 |
- num_epochs: 5
|
42 |
- mixed_precision_training: Native AMP
|
43 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
44 |
### Framework versions
|
45 |
|
46 |
- Transformers 4.38.1
|
|
|
3 |
base_model: microsoft/git-base
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- rouge
|
8 |
model-index:
|
9 |
- name: GIT_inf_only_ep5
|
10 |
results: []
|
|
|
16 |
# GIT_inf_only_ep5
|
17 |
|
18 |
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.0494
|
21 |
+
- Rouge1: 44.6137
|
22 |
+
- Rouge2: 13.6972
|
23 |
+
- Rougel: 43.5306
|
24 |
+
- Rougelsum: 43.5484
|
25 |
+
- Gen Len: 207.45
|
26 |
|
27 |
## Model description
|
28 |
|
|
|
43 |
The following hyperparameters were used during training:
|
44 |
- learning_rate: 5e-05
|
45 |
- train_batch_size: 16
|
46 |
+
- eval_batch_size: 16
|
47 |
- seed: 42
|
48 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
49 |
- lr_scheduler_type: linear
|
50 |
- num_epochs: 5
|
51 |
- mixed_precision_training: Native AMP
|
52 |
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
56 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
|
57 |
+
| 0.0526 | 1.0 | 1586 | 0.0505 | 3.3402 | 0.8279 | 3.239 | 3.2361 | 207.45 |
|
58 |
+
| 0.0457 | 2.0 | 3172 | 0.0496 | 40.1232 | 13.4573 | 39.2584 | 39.2555 | 207.4505 |
|
59 |
+
| 0.0404 | 3.0 | 4758 | 0.0492 | 42.6704 | 12.4947 | 41.5807 | 41.5836 | 207.4505 |
|
60 |
+
| 0.0368 | 4.0 | 6344 | 0.0494 | 44.5041 | 14.6203 | 43.3769 | 43.423 | 207.4505 |
|
61 |
+
| 0.0331 | 5.0 | 7930 | 0.0494 | 44.6137 | 13.6972 | 43.5306 | 43.5484 | 207.45 |
|
62 |
+
|
63 |
+
|
64 |
### Framework versions
|
65 |
|
66 |
- Transformers 4.38.1
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 706516040
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3e8c7bd7416f5f940c9b128b61147aed3c7ffe49dcb45a5bcce0e1a6b7ef9024
|
3 |
size 706516040
|