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---
license: llama2
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
datasets:
- tyzhu/lmind_nq_train6000_eval6489_v1_qa
metrics:
- accuracy
model-index:
- name: lmind_nq_train6000_eval6489_v1_qa_meta-llama_Llama-2-7b-chat-hf_lora2
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: tyzhu/lmind_nq_train6000_eval6489_v1_qa
type: tyzhu/lmind_nq_train6000_eval6489_v1_qa
metrics:
- name: Accuracy
type: accuracy
value: 0.5974358974358974
---
<!-- 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. -->
# lmind_nq_train6000_eval6489_v1_qa_meta-llama_Llama-2-7b-chat-hf_lora2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the tyzhu/lmind_nq_train6000_eval6489_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9837
- Accuracy: 0.5974
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8687 | 1.0 | 187 | 1.3245 | 0.6109 |
| 1.2052 | 2.0 | 375 | 1.3271 | 0.6131 |
| 0.9568 | 3.0 | 562 | 1.4014 | 0.6095 |
| 0.7696 | 4.0 | 750 | 1.5195 | 0.6054 |
| 0.6348 | 5.0 | 937 | 1.6407 | 0.6016 |
| 0.5592 | 6.0 | 1125 | 1.7334 | 0.5997 |
| 0.5166 | 7.0 | 1312 | 1.8043 | 0.5997 |
| 0.4911 | 8.0 | 1500 | 1.9042 | 0.5991 |
| 0.4494 | 9.0 | 1687 | 1.9244 | 0.5984 |
| 0.4399 | 9.97 | 1870 | 1.9837 | 0.5974 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.14.1
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