You can deploy this model and start earning money today!

AttriRAG/
ragnroll_llama2_13b

Name: ragnroll_llama2_13b
Availability: InStock

generated_from_trainer

AttriRAG/ragnroll_train_data_hagrid_seg_proba

meta-llama/Llama-2-13b-chat-hf

adapter

4-bit

bitsandbytes

Views

No views yet

llama-2-chat-hagrid-att-seg-proba-rag-agent-13b

This model is a fine-tuned version of meta-llama/Llama-2-13b-chat-hf on the AttriRAG/ragnroll_train_data_hagrid_seg_proba dataset. It achieves the following results on the evaluation set:

Loss: 1.1339

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
1.3629	0.98	22	1.2015
1.2369	2.0	45	1.1331
1.1925	2.98	67	1.1213
1.1988	4.0	90	1.1191
1.0622	4.98	112	1.1235
1.025	6.0	135	1.1315
0.9374	6.98	157	1.1338
1.067	7.82	176	1.1339

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.15.2

AttriRAG/ragnroll_llama2_13b

llama-2-chat-hagrid-att-seg-proba-rag-agent-13b

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AttriRAG/
ragnroll_llama2_13b