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---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-7b
tags:
- generated_from_trainer
model-index:
- name: starcoderbase_4096_context_length
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. -->
# starcoderbase_4096_context_length
This model is a fine-tuned version of [bigcode/starcoderbase-7b](https://huggingface.co/bigcode/starcoderbase-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8695
## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4754 | 0.05 | 100 | 0.5687 |
| 0.3079 | 0.1 | 200 | 0.5495 |
| 0.1744 | 0.15 | 300 | 0.5829 |
| 0.1132 | 0.2 | 400 | 0.6087 |
| 0.1177 | 0.25 | 500 | 0.6039 |
| 0.0716 | 0.3 | 600 | 0.6470 |
| 0.0653 | 0.35 | 700 | 0.6801 |
| 0.1156 | 0.4 | 800 | 0.6671 |
| 0.0536 | 0.45 | 900 | 0.6707 |
| 0.0582 | 0.5 | 1000 | 0.7050 |
| 0.0313 | 0.55 | 1100 | 0.7505 |
| 0.0301 | 0.6 | 1200 | 0.7616 |
| 0.022 | 0.65 | 1300 | 0.7948 |
| 0.0241 | 0.7 | 1400 | 0.8004 |
| 0.0197 | 0.75 | 1500 | 0.8240 |
| 0.0181 | 0.8 | 1600 | 0.8357 |
| 0.0175 | 0.85 | 1700 | 0.8638 |
| 0.0162 | 0.9 | 1800 | 0.8632 |
| 0.0172 | 0.95 | 1900 | 0.8710 |
| 0.0152 | 1.0 | 2000 | 0.8695 |
### Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0a0+07cecf4168.nv24.05
- Datasets 2.20.0
- Tokenizers 0.19.1
|