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---
library_name: peft
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
license: apache-2.0
datasets:
- vicgalle/alpaca-gpt4
language:
- en
pipeline_tag: conversational
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
TinyLlama/TinyLlama-1.1B-Chat-v1.0 sft on alpaca dataset using LoRA
## Model Details
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [https://github.com/bytebarde/llm_alpaca](https://github.com/bytebarde/llm_alpaca)
## Training Details
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Training Hyperparameters
- **Training regime:** [fp16 mixed precision] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
- **Per device train batch size:** 4
- **Epoch:** 10
- **Loss:** 0.9044
### Framework versions
- PEFT 0.7.1 |