Downloads · 30 days
49
21% of all-time downloads
re-irr-sv-agr-lstm-4
CLMBR/re-irr-sv-agr-lstm-4
re-irr-sv-agr-lstm-4 is a machine learning model from CLMBR. 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
236
Public
Repo size
32.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt21.8 GB · 66%
At a glance
- Library
- transformers
- Model type
- rnn
- Access
- Public
- Created
- Jan 25, 2024
- Updated
- Feb 2, 2024
- SHA
- 6dc5c3bc
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. -->
re-irr-sv-agr-lstm-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9938
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.7916 | 0.03 | 76320 | 4.7805 |
| 4.5106 | 0.03 | 152640 | 4.5042 |
| 4.3687 | 1.03 | 228960 | 4.3690 |
| 4.282 | 0.03 | 305280 | 4.2855 |
| 4.2204 | 1.03 | 381600 | 4.2284 |
| 4.1737 | 2.03 | 457920 | 4.1873 |
| 4.1366 | 0.03 | 534240 | 4.1550 |
| 4.1015 | 0.03 | 610560 | 4.1299 |
| 4.0739 | 1.03 | 686880 | 4.1107 |
| 4.0515 | 0.03 | 763200 | 4.0948 |
| 4.0275 | 1.03 | 839520 | 4.0810 |
| 4.0138 | 0.03 | 915840 | 4.0696 |
| 4.0006 | 1.03 | 992160 | 4.0597 |
| 3.9824 | 0.03 | 1068480 | 4.0520 |
| 3.9684 | 0.03 | 1144800 | 4.0457 |
| 3.9512 | 0.03 | 1221120 | 4.0393 |
| 3.9369 | 1.03 | 1297440 | 4.0337 |
| 3.9286 | 0.03 | 1373760 | 4.0297 |
| 3.9193 | 1.03 | 1450080 | 4.0260 |
| 3.917 | 0.03 | 1526400 | 4.0221 |
| 3.9122 | 1.03 | 1602720 | 4.0187 |
| 3.9092 | 0.03 | 1679040 | 4.0155 |
| 3.9045 | 1.03 | 1755360 | 4.0130 |
| 3.8976 | 2.03 | 1831680 | 4.0111 |
| 3.8924 | 0.03 | 1908000 | 4.0091 |
| 3.8857 | 1.03 | 1984320 | 4.0067 |
| 3.8781 | 0.03 | 2060640 | 4.0047 |
| 3.8796 | 1.03 | 2136960 | 4.0034 |
| 3.8764 | 0.03 | 2213280 | 4.0019 |
| 3.8664 | 1.03 | 2289600 | 4.0009 |
| 3.864 | 0.03 | 2365920 | 3.9995 |
| 3.8539 | 1.03 | 2442240 | 3.9987 |
| 3.8477 | 2.03 | 2518560 | 3.9978 |
| 3.8437 | 0.03 | 2594880 | 3.9970 |
| 3.8414 | 1.03 | 2671200 | 3.9963 |
| 3.8445 | 0.03 | 2747520 | 3.9956 |
| 3.8455 | 1.03 | 2823840 | 3.9951 |
| 3.8477 | 0.03 | 2900160 | 3.9945 |
| 3.8476 | 0.03 | 2976480 | 3.9941 |
| 3.8431 | 1.02 | 3052726 | 3.9938 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 25, 2024
- Updated
- Feb 2, 2024