metadata
license: apache-2.0
base_model: EleutherAI/pythia-410m
tags:
- generated_from_trainer
model-index:
- name: pythia410m-XYZCompany-1000-steps
results: []
pythia410m-XYZCompany-1000-steps
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2944
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2939 | 0.32 | 50 | 0.2774 |
| 0.2993 | 0.63 | 100 | 0.2531 |
| 0.2538 | 0.95 | 150 | 0.2429 |
| 0.1829 | 1.27 | 200 | 0.2393 |
| 0.187 | 1.59 | 250 | 0.2326 |
| 0.1737 | 1.9 | 300 | 0.2308 |
| 0.1195 | 2.22 | 350 | 0.2405 |
| 0.1263 | 2.54 | 400 | 0.2392 |
| 0.1248 | 2.86 | 450 | 0.2374 |
| 0.069 | 3.17 | 500 | 0.2545 |
| 0.08 | 3.49 | 550 | 0.2530 |
| 0.0763 | 3.81 | 600 | 0.2553 |
| 0.0532 | 4.13 | 650 | 0.2690 |
| 0.0465 | 4.44 | 700 | 0.2727 |
| 0.0538 | 4.76 | 750 | 0.2734 |
| 0.037 | 5.08 | 800 | 0.2834 |
| 0.0334 | 5.4 | 850 | 0.2859 |
| 0.0299 | 5.71 | 900 | 0.2872 |
| 0.0318 | 6.03 | 950 | 0.2906 |
| 0.0256 | 6.35 | 1000 | 0.2944 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.13.2