Training complete
Browse files- README.md +71 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: google/mt5-small
|
| 4 |
+
tags:
|
| 5 |
+
- summarization
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- rouge
|
| 9 |
+
model-index:
|
| 10 |
+
- name: mt5-small-finetuned-13f-reports
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# mt5-small-finetuned-13f-reports
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.5998
|
| 22 |
+
- Rouge1: 0.6865
|
| 23 |
+
- Rouge2: 0.6132
|
| 24 |
+
- Rougel: 0.6746
|
| 25 |
+
- Rougelsum: 0.675
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 5.6e-05
|
| 45 |
+
- train_batch_size: 8
|
| 46 |
+
- eval_batch_size: 8
|
| 47 |
+
- seed: 42
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- num_epochs: 8
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|
| 55 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
|
| 56 |
+
| 2.6234 | 1.0 | 126 | 1.1515 | 0.5933 | 0.497 | 0.5686 | 0.5688 |
|
| 57 |
+
| 1.5259 | 2.0 | 252 | 0.8439 | 0.6516 | 0.5674 | 0.6349 | 0.6357 |
|
| 58 |
+
| 1.2123 | 3.0 | 378 | 0.7462 | 0.661 | 0.5832 | 0.6474 | 0.6478 |
|
| 59 |
+
| 0.9923 | 4.0 | 504 | 0.6930 | 0.6674 | 0.5869 | 0.6534 | 0.6544 |
|
| 60 |
+
| 0.8811 | 5.0 | 630 | 0.6358 | 0.6747 | 0.595 | 0.662 | 0.6619 |
|
| 61 |
+
| 0.7831 | 6.0 | 756 | 0.6148 | 0.686 | 0.6105 | 0.6739 | 0.6741 |
|
| 62 |
+
| 0.7908 | 7.0 | 882 | 0.6011 | 0.6871 | 0.6132 | 0.6752 | 0.6755 |
|
| 63 |
+
| 0.7525 | 8.0 | 1008 | 0.5998 | 0.6865 | 0.6132 | 0.6746 | 0.675 |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.34.0
|
| 69 |
+
- Pytorch 2.0.1+cu118
|
| 70 |
+
- Datasets 2.14.5
|
| 71 |
+
- Tokenizers 0.14.0
|
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": "4.34.0"
|
| 6 |
+
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1200772613
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:868743061432ac02ee54eb4309ce74caad5f2abb2649dfc2e996563d18d48bd5
|
| 3 |
size 1200772613
|