Training complete
Browse files- README.md +72 -0
- generation_config.json +6 -0
README.md
ADDED
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
+
base_model: google/mt5-small
|
5 |
+
tags:
|
6 |
+
- summarization
|
7 |
+
- generated_from_trainer
|
8 |
+
metrics:
|
9 |
+
- rouge
|
10 |
+
model-index:
|
11 |
+
- name: mt5-small-finetuned-amazon-en-es
|
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 |
+
# mt5-small-finetuned-amazon-en-es
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 2.3554
|
23 |
+
- Rouge1: 24.0279
|
24 |
+
- Rouge2: 14.2784
|
25 |
+
- Rougel: 23.3319
|
26 |
+
- Rougelsum: 23.3852
|
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: 5.6e-05
|
46 |
+
- train_batch_size: 28
|
47 |
+
- eval_batch_size: 28
|
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: 8
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|
56 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
|
57 |
+
| 4.0088 | 1.0 | 4679 | 2.5872 | 21.5939 | 12.0659 | 20.9575 | 20.9943 |
|
58 |
+
| 2.92 | 2.0 | 9358 | 2.4859 | 22.4633 | 12.6865 | 21.7729 | 21.8407 |
|
59 |
+
| 2.7704 | 3.0 | 14037 | 2.4248 | 22.9471 | 13.2621 | 22.2334 | 22.274 |
|
60 |
+
| 2.6884 | 4.0 | 18716 | 2.3995 | 23.9663 | 14.0107 | 23.2218 | 23.2728 |
|
61 |
+
| 2.6323 | 5.0 | 23395 | 2.3759 | 24.057 | 14.1794 | 23.3209 | 23.3744 |
|
62 |
+
| 2.5971 | 6.0 | 28074 | 2.3649 | 24.0271 | 14.2326 | 23.3148 | 23.3478 |
|
63 |
+
| 2.5713 | 7.0 | 32753 | 2.3595 | 23.9268 | 14.1398 | 23.1927 | 23.2442 |
|
64 |
+
| 2.5577 | 8.0 | 37432 | 2.3554 | 24.0279 | 14.2784 | 23.3319 | 23.3852 |
|
65 |
+
|
66 |
+
|
67 |
+
### Framework versions
|
68 |
+
|
69 |
+
- Transformers 4.46.3
|
70 |
+
- Pytorch 2.5.1+cu124
|
71 |
+
- Datasets 3.1.0
|
72 |
+
- Tokenizers 0.20.3
|
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": "4.46.3"
|
6 |
+
}
|