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---
library_name: transformers
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
model-index:
- name: opt-125m-cluster
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. -->
# opt-125m-cluster
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- training_steps: 30000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 3.1172 | 0.0356 | 1000 | nan |
| 3.2603 | 0.0711 | 2000 | nan |
| 3.222 | 0.1067 | 3000 | nan |
| 3.1457 | 0.1422 | 4000 | nan |
| 3.0929 | 0.1778 | 5000 | nan |
| 3.1864 | 0.2133 | 6000 | nan |
| 3.1887 | 0.2489 | 7000 | nan |
| 3.162 | 0.2844 | 8000 | nan |
| 3.1355 | 0.32 | 9000 | nan |
| 3.1201 | 0.3556 | 10000 | nan |
| 3.0831 | 0.3911 | 11000 | nan |
| 3.0724 | 0.4267 | 12000 | nan |
| 3.0465 | 0.4622 | 13000 | nan |
| 3.0446 | 0.4978 | 14000 | nan |
| 3.0422 | 0.5333 | 15000 | nan |
| 3.0986 | 0.5689 | 16000 | nan |
| 3.1074 | 0.6044 | 17000 | nan |
| 3.1088 | 0.64 | 18000 | nan |
| 3.0854 | 0.6756 | 19000 | nan |
| 3.0752 | 0.7111 | 20000 | nan |
| 3.065 | 0.7467 | 21000 | nan |
| 3.0527 | 0.7822 | 22000 | nan |
| 3.0428 | 0.8178 | 23000 | nan |
| 3.0357 | 0.8533 | 24000 | nan |
| 3.0295 | 0.8889 | 25000 | nan |
| 3.0149 | 0.9244 | 26000 | nan |
| 3.0146 | 0.96 | 27000 | nan |
| 3.0148 | 0.9956 | 28000 | nan |
| 2.9621 | 1.0311 | 29000 | nan |
| 2.9542 | 1.0667 | 30000 | nan |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1
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