Downloads · 30 days
8
25% of all-time downloads
multinews_cnn_logs2
BeenaSamuel/multinews_cnn_logs2
multinews_cnn_logs2 is a machine learning model from BeenaSamuel. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
32
Public
Parameters
60.5M
243 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024
- SHA
- c642a48b
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
multinews_cnn_logs2
This model is a fine-tuned version of BeenaSamuel/t5_small_multi_news_abstractive_summarizer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7781
- Rouge1: 0.5231
- Rouge2: 0.1974
- Rougel: 0.4013
- Gen Len: 311.236
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| 1.9591 | 0.28 | 200 | 1.8011 | 0.519 | 0.1944 | 0.3973 | 311.236 |
| 1.8902 | 0.57 | 400 | 1.7998 | 0.5204 | 0.1946 | 0.3979 | 311.236 |
| 1.8851 | 0.85 | 600 | 1.7963 | 0.5203 | 0.1949 | 0.3981 | 311.236 |
| 1.9131 | 1.14 | 800 | 1.7947 | 0.52 | 0.1951 | 0.3985 | 311.236 |
| 1.929 | 1.42 | 1000 | 1.7919 | 0.5204 | 0.1955 | 0.3986 | 311.236 |
| 1.9045 | 1.71 | 1200 | 1.7881 | 0.5216 | 0.1957 | 0.3995 | 311.236 |
| 1.9542 | 1.99 | 1400 | 1.7881 | 0.5208 | 0.1959 | 0.3996 | 311.236 |
| 1.9129 | 2.28 | 1600 | 1.7842 | 0.5218 | 0.1965 | 0.4002 | 311.236 |
| 1.8727 | 2.56 | 1800 | 1.7848 | 0.5218 | 0.1965 | 0.4001 | 311.236 |
| 1.9194 | 2.85 | 2000 | 1.7833 | 0.5225 | 0.1968 | 0.4005 | 311.236 |
| 1.8275 | 3.13 | 2200 | 1.7821 | 0.5223 | 0.1968 | 0.4004 | 311.236 |
| 1.9338 | 3.42 | 2400 | 1.7809 | 0.5228 | 0.1971 | 0.4007 | 311.236 |
| 1.9234 | 3.7 | 2600 | 1.7809 | 0.5224 | 0.197 | 0.4008 | 311.236 |
| 1.904 | 3.98 | 2800 | 1.7795 | 0.5227 | 0.1972 | 0.4009 | 311.236 |
| 1.8844 | 4.27 | 3000 | 1.7791 | 0.5228 | 0.1973 | 0.4008 | 311.236 |
| 1.9315 | 4.55 | 3200 | 1.7788 | 0.5228 | 0.1972 | 0.4011 | 311.236 |
| 1.88 | 4.84 | 3400 | 1.7781 | 0.5231 | 0.1974 | 0.4013 | 311.236 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024