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---
tags:
- generated_from_trainer
model-index:
- name: binding-domain-lstm-2
results: []
---
<!-- 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. -->
# binding-domain-lstm-2
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9731
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7933 | 0.03 | 76320 | 4.7549 |
| 4.5118 | 1.03 | 152640 | 4.4797 |
| 4.3703 | 0.03 | 228960 | 4.3457 |
| 4.2844 | 1.03 | 305280 | 4.2628 |
| 4.2225 | 0.03 | 381600 | 4.2058 |
| 4.1774 | 1.03 | 457920 | 4.1653 |
| 4.1371 | 0.03 | 534240 | 4.1339 |
| 4.1039 | 1.03 | 610560 | 4.1088 |
| 4.0759 | 0.03 | 686880 | 4.0888 |
| 4.0535 | 1.03 | 763200 | 4.0738 |
| 4.0321 | 0.03 | 839520 | 4.0603 |
| 4.0166 | 1.03 | 915840 | 4.0490 |
| 4.0006 | 0.03 | 992160 | 4.0397 |
| 3.9825 | 1.03 | 1068480 | 4.0312 |
| 3.9698 | 0.03 | 1144800 | 4.0242 |
| 3.9569 | 1.03 | 1221120 | 4.0182 |
| 3.9431 | 0.03 | 1297440 | 4.0136 |
| 3.9342 | 1.03 | 1373760 | 4.0092 |
| 3.9276 | 0.03 | 1450080 | 4.0056 |
| 3.9232 | 1.03 | 1526400 | 4.0025 |
| 3.9196 | 0.03 | 1602720 | 3.9989 |
| 3.9162 | 0.03 | 1679040 | 3.9960 |
| 3.9099 | 1.03 | 1755360 | 3.9931 |
| 3.9031 | 0.03 | 1831680 | 3.9906 |
| 3.8944 | 1.03 | 1908000 | 3.9881 |
| 3.8894 | 0.03 | 1984320 | 3.9859 |
| 3.884 | 1.03 | 2060640 | 3.9839 |
| 3.882 | 0.03 | 2136960 | 3.9828 |
| 3.8767 | 0.03 | 2213280 | 3.9819 |
| 3.8683 | 1.03 | 2289600 | 3.9807 |
| 3.8646 | 0.03 | 2365920 | 3.9797 |
| 3.8608 | 1.03 | 2442240 | 3.9788 |
| 3.8515 | 0.03 | 2518560 | 3.9776 |
| 3.8506 | 1.03 | 2594880 | 3.9764 |
| 3.8485 | 0.03 | 2671200 | 3.9757 |
| 3.8511 | 1.03 | 2747520 | 3.9748 |
| 3.8518 | 0.03 | 2823840 | 3.9744 |
| 3.853 | 1.03 | 2900160 | 3.9738 |
| 3.8517 | 0.03 | 2976480 | 3.9734 |
| 3.8503 | 1.02 | 3052726 | 3.9731 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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