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---
tags:
- generated_from_trainer
model-index:
- name: rel-cl2-transformer-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. -->
# rel-cl2-transformer-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: 3.8732
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2351 | 0.03 | 76320 | 4.2024 |
| 4.0288 | 1.03 | 152640 | 4.0335 |
| 3.9259 | 0.03 | 228960 | 3.9588 |
| 3.8543 | 1.03 | 305280 | 3.9178 |
| 3.804 | 0.03 | 381600 | 3.8922 |
| 3.7641 | 1.03 | 457920 | 3.8757 |
| 3.7273 | 0.03 | 534240 | 3.8649 |
| 3.6967 | 1.03 | 610560 | 3.8587 |
| 3.6658 | 0.03 | 686880 | 3.8543 |
| 3.6407 | 1.03 | 763200 | 3.8511 |
| 3.614 | 0.03 | 839520 | 3.8498 |
| 3.5939 | 1.03 | 915840 | 3.8499 |
| 3.5759 | 0.03 | 992160 | 3.8488 |
| 3.5578 | 1.03 | 1068480 | 3.8506 |
| 3.5451 | 0.03 | 1144800 | 3.8510 |
| 3.534 | 1.03 | 1221120 | 3.8518 |
| 3.5188 | 0.03 | 1297440 | 3.8544 |
| 3.5058 | 1.03 | 1373760 | 3.8540 |
| 3.4925 | 0.03 | 1450080 | 3.8565 |
| 3.4832 | 1.03 | 1526400 | 3.8572 |
| 3.4735 | 0.03 | 1602720 | 3.8599 |
| 3.4643 | 1.03 | 1679040 | 3.8618 |
| 3.4536 | 0.03 | 1755360 | 3.8628 |
| 3.4408 | 1.03 | 1831680 | 3.8638 |
| 3.4261 | 0.03 | 1908000 | 3.8659 |
| 3.4152 | 1.03 | 1984320 | 3.8671 |
| 3.4012 | 0.03 | 2060640 | 3.8685 |
| 3.3916 | 0.03 | 2136960 | 3.8690 |
| 3.3778 | 1.03 | 2213280 | 3.8713 |
| 3.3672 | 0.03 | 2289600 | 3.8723 |
| 3.3592 | 1.03 | 2365920 | 3.8732 |
| 3.3547 | 0.03 | 2442240 | 3.8739 |
| 3.3438 | 1.03 | 2518560 | 3.8749 |
| 3.335 | 0.03 | 2594880 | 3.8767 |
| 3.3251 | 1.03 | 2671200 | 3.8758 |
| 3.3196 | 0.03 | 2747520 | 3.8764 |
| 3.3133 | 1.03 | 2823840 | 3.8760 |
| 3.3082 | 0.03 | 2900160 | 3.8752 |
| 3.299 | 0.03 | 2976480 | 3.8748 |
| 3.2919 | 1.02 | 3052726 | 3.8732 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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