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peft-lora-starcoder-chat-asst-A100-40GB-colab
taylorbobaylor/peft-lora-starcoder-chat-asst-A100-40GB-colab
peft-lora-starcoder-chat-asst-A100-40GB-colab is a machine learning model from taylorbobaylor. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as bigcode-openrail-m.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- bigcode-openrail-m
- Access
- Public
- Created
- Nov 22, 2023
- Updated
- Nov 22, 2023
- SHA
- 5398e97b
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
peft-lora-starcoder-chat-asst-A100-40GB-colab
This model is a fine-tuned version of bigcode/tiny_starcoder_py on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2079
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 150
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6488 | 0.67 | 100 | 2.2079 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
Framework versions
- PEFT 0.6.3.dev0
- Library
- peft
- License
- bigcode-openrail-m
- Created
- Nov 22, 2023
- Updated
- Nov 22, 2023