Downloads · 30 days
65
17% of all-time downloads
full-lstm-2
CLMBR/full-lstm-2
full-lstm-2 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
377
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 26, 2024
- Updated
- Feb 2, 2024
- SHA
- f5d9cdc6
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. -->
full2-lstm-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9738
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: 2
- 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 |
|---|---|---|---|
| 4.7958 | 0.03 | 76320 | 4.7656 |
| 4.5105 | 1.03 | 152640 | 4.4827 |
| 4.3654 | 0.03 | 228960 | 4.3482 |
| 4.2801 | 1.03 | 305280 | 4.2650 |
| 4.2161 | 0.03 | 381600 | 4.2080 |
| 4.1711 | 1.03 | 457920 | 4.1662 |
| 4.1373 | 0.03 | 534240 | 4.1357 |
| 4.106 | 1.03 | 610560 | 4.1113 |
| 4.0755 | 0.03 | 686880 | 4.0909 |
| 4.0519 | 1.03 | 763200 | 4.0743 |
| 4.0312 | 0.03 | 839520 | 4.0611 |
| 4.0136 | 1.03 | 915840 | 4.0505 |
| 4.0004 | 0.03 | 992160 | 4.0414 |
| 3.9837 | 1.03 | 1068480 | 4.0328 |
| 3.9692 | 0.03 | 1144800 | 4.0253 |
| 3.9547 | 1.03 | 1221120 | 4.0192 |
| 3.9407 | 0.03 | 1297440 | 4.0140 |
| 3.9307 | 1.03 | 1373760 | 4.0091 |
| 3.9213 | 0.03 | 1450080 | 4.0055 |
| 3.9184 | 1.03 | 1526400 | 4.0017 |
| 3.9134 | 0.03 | 1602720 | 3.9992 |
| 3.9108 | 1.03 | 1679040 | 3.9962 |
| 3.9086 | 0.03 | 1755360 | 3.9935 |
| 3.9036 | 1.03 | 1831680 | 3.9910 |
| 3.8942 | 0.03 | 1908000 | 3.9890 |
| 3.8892 | 1.03 | 1984320 | 3.9867 |
| 3.8825 | 0.03 | 2060640 | 3.9852 |
| 3.8768 | 1.03 | 2136960 | 3.9835 |
| 3.8758 | 0.03 | 2213280 | 3.9815 |
| 3.8693 | 1.03 | 2289600 | 3.9807 |
| 3.8621 | 0.03 | 2365920 | 3.9796 |
| 3.8589 | 0.03 | 2442240 | 3.9788 |
| 3.8513 | 0.03 | 2518560 | 3.9778 |
| 3.8487 | 1.03 | 2594880 | 3.9770 |
| 3.8424 | 0.03 | 2671200 | 3.9763 |
| 3.8467 | 1.03 | 2747520 | 3.9756 |
| 3.8475 | 0.03 | 2823840 | 3.9750 |
| 3.8449 | 1.03 | 2900160 | 3.9745 |
| 3.8521 | 0.03 | 2976480 | 3.9741 |
| 3.8498 | 0.02 | 3052726 | 3.9738 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 26, 2024
- Updated
- Feb 2, 2024