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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: childes_mlm_unmasking_sent_13
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. -->
# childes_mlm_unmasking_sent_13
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1577
## 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: 16
- eval_batch_size: 16
- seed: 13
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100000
- training_steps: 400000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| No log | 0.0741 | 2000 | 5.4637 |
| 6.1476 | 0.1481 | 4000 | 4.7186 |
| 6.1476 | 0.2222 | 6000 | 4.3520 |
| 4.4471 | 0.2963 | 8000 | 3.9931 |
| 4.4471 | 0.3703 | 10000 | 3.7630 |
| 3.8939 | 0.4444 | 12000 | 3.6285 |
| 3.8939 | 0.5185 | 14000 | 3.4888 |
| 3.6013 | 0.5926 | 16000 | 3.4438 |
| 3.6013 | 0.6666 | 18000 | 3.3501 |
| 3.4806 | 0.7407 | 20000 | 3.3621 |
| 3.4806 | 0.8148 | 22000 | 3.3173 |
| 3.4164 | 0.8888 | 24000 | 3.2997 |
| 3.4164 | 0.9629 | 26000 | 3.2795 |
| 3.3837 | 1.0370 | 28000 | 3.2958 |
| 3.3837 | 1.1110 | 30000 | 3.2695 |
| 3.3341 | 1.1851 | 32000 | 3.2437 |
| 3.3341 | 1.2592 | 34000 | 3.2345 |
| 3.332 | 1.3333 | 36000 | 3.2152 |
| 3.332 | 1.4073 | 38000 | 3.2175 |
| 3.3094 | 1.4814 | 40000 | 3.2130 |
| 3.3094 | 1.5555 | 42000 | 3.2210 |
| 3.3162 | 1.6295 | 44000 | nan |
| 3.3162 | 1.7036 | 46000 | 3.1529 |
| 3.3268 | 1.7777 | 48000 | 3.1837 |
| 3.3268 | 1.8517 | 50000 | 3.1856 |
| 3.3103 | 1.9258 | 52000 | 3.1568 |
| 3.3103 | 1.9999 | 54000 | 3.1903 |
| 3.2876 | 2.0740 | 56000 | 3.1443 |
| 3.2876 | 2.1480 | 58000 | 3.1751 |
| 3.3045 | 2.2221 | 60000 | 3.1543 |
| 3.3045 | 2.2962 | 62000 | 3.1577 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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