Training complete
Browse files- README.md +69 -0
- generation_config.json +6 -0
README.md
ADDED
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
+
base_model: t5-small
|
5 |
+
tags:
|
6 |
+
- summarization
|
7 |
+
- generated_from_trainer
|
8 |
+
metrics:
|
9 |
+
- rouge
|
10 |
+
model-index:
|
11 |
+
- name: t5-small-finetuned-stock-news-2
|
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 |
+
# t5-small-finetuned-stock-news-2
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.8158
|
23 |
+
- Rouge1: 43.5332
|
24 |
+
- Rouge2: 35.3228
|
25 |
+
- Rougel: 41.6098
|
26 |
+
- Rougelsum: 42.0283
|
27 |
+
|
28 |
+
## Model description
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Intended uses & limitations
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training and evaluation data
|
37 |
+
|
38 |
+
More information needed
|
39 |
+
|
40 |
+
## Training procedure
|
41 |
+
|
42 |
+
### Training hyperparameters
|
43 |
+
|
44 |
+
The following hyperparameters were used during training:
|
45 |
+
- learning_rate: 2.5e-05
|
46 |
+
- train_batch_size: 4
|
47 |
+
- eval_batch_size: 4
|
48 |
+
- seed: 42
|
49 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
50 |
+
- lr_scheduler_type: linear
|
51 |
+
- num_epochs: 5
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|
56 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
|
57 |
+
| 0.9339 | 1.0 | 567 | 0.8689 | 43.605 | 35.245 | 41.6921 | 42.0047 |
|
58 |
+
| 0.8141 | 2.0 | 1134 | 0.8350 | 43.92 | 35.795 | 42.1339 | 42.4823 |
|
59 |
+
| 0.7831 | 3.0 | 1701 | 0.8228 | 43.9384 | 35.7565 | 42.1371 | 42.4679 |
|
60 |
+
| 0.7617 | 4.0 | 2268 | 0.8173 | 43.4454 | 35.2275 | 41.5476 | 41.9424 |
|
61 |
+
| 0.7492 | 5.0 | 2835 | 0.8158 | 43.5332 | 35.3228 | 41.6098 | 42.0283 |
|
62 |
+
|
63 |
+
|
64 |
+
### Framework versions
|
65 |
+
|
66 |
+
- Transformers 4.51.3
|
67 |
+
- Pytorch 2.6.0+cu124
|
68 |
+
- Datasets 3.5.1
|
69 |
+
- Tokenizers 0.21.1
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"decoder_start_token_id": 0,
|
3 |
+
"eos_token_id": 1,
|
4 |
+
"pad_token_id": 0,
|
5 |
+
"transformers_version": "4.51.3"
|
6 |
+
}
|