metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: fr_childes_42
results: []
fr_childes_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8718
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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: 40000
- training_steps: 100000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 2.5 | 2000 | 7.2323 |
| 7.2283 | 5.0 | 4000 | 5.9768 |
| 7.2283 | 7.5 | 6000 | 5.8268 |
| 5.6892 | 10.0 | 8000 | 5.7444 |
| 5.6892 | 12.5 | 10000 | 5.6708 |
| 5.4694 | 15.0 | 12000 | 5.5713 |
| 5.4694 | 17.5 | 14000 | 5.5270 |
| 5.3091 | 20.0 | 16000 | 5.4483 |
| 5.3091 | 22.5 | 18000 | 5.3926 |
| 5.1707 | 25.0 | 20000 | 5.2315 |
| 5.1707 | 27.5 | 22000 | 4.9059 |
| 4.6992 | 30.0 | 24000 | 4.1680 |
| 4.6992 | 32.5 | 26000 | 3.6409 |
| 3.5699 | 35.0 | 28000 | 3.2064 |
| 3.5699 | 37.5 | 30000 | 3.0010 |
| 2.9074 | 40.0 | 32000 | 2.8509 |
| 2.9074 | 42.5 | 34000 | 2.7339 |
| 2.6073 | 45.0 | 36000 | 2.6182 |
| 2.6073 | 47.5 | 38000 | 2.5613 |
| 2.4166 | 50.0 | 40000 | 2.4946 |
| 2.4166 | 52.5 | 42000 | 2.4197 |
| 2.2667 | 55.0 | 44000 | 2.3687 |
| 2.2667 | 57.5 | 46000 | 2.2802 |
| 2.146 | 60.0 | 48000 | 2.2621 |
| 2.146 | 62.5 | 50000 | 2.2170 |
| 2.0465 | 65.0 | 52000 | 2.1907 |
| 2.0465 | 67.5 | 54000 | 2.1659 |
| 1.969 | 70.0 | 56000 | 2.1273 |
| 1.969 | 72.5 | 58000 | 2.0874 |
| 1.9056 | 75.0 | 60000 | 2.0743 |
| 1.9056 | 77.5 | 62000 | 2.0583 |
| 1.8492 | 80.0 | 64000 | 2.0371 |
| 1.8492 | 82.5 | 66000 | 2.0039 |
| 1.8024 | 85.0 | 68000 | 1.9901 |
| 1.8024 | 87.5 | 70000 | 1.9754 |
| 1.7652 | 90.0 | 72000 | 1.9566 |
| 1.7652 | 92.5 | 74000 | 1.9404 |
| 1.7344 | 95.0 | 76000 | 1.9128 |
| 1.7344 | 97.5 | 78000 | 1.9396 |
| 1.7055 | 100.0 | 80000 | 1.9591 |
| 1.7055 | 102.5 | 82000 | 1.9078 |
| 1.6779 | 105.0 | 84000 | 1.9178 |
| 1.6779 | 107.5 | 86000 | 1.9046 |
| 1.6529 | 110.0 | 88000 | 1.8918 |
| 1.6529 | 112.5 | 90000 | 1.9010 |
| 1.6347 | 115.0 | 92000 | 1.8959 |
| 1.6347 | 117.5 | 94000 | 1.9094 |
| 1.6225 | 120.0 | 96000 | 1.8838 |
| 1.6225 | 122.5 | 98000 | 1.8972 |
| 1.6132 | 125.0 | 100000 | 1.8718 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1