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hussamsal/
final_model-3

Name: final_model-3
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.2

adapter

apache-2.0

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final_model-3

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0656

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

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: False
bnb_4bit_compute_dtype: float16

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.4774	0.0	1	2.3519
2.3907	0.01	2	2.2619
2.2831	0.01	3	2.1934
2.3523	0.02	4	2.1535
2.2008	0.02	5	2.1415
2.398	0.02	6	2.1336
2.0323	0.03	7	2.1223
1.9787	0.03	8	2.1102
2.2163	0.04	9	2.1011
2.4075	0.04	10	2.0942
2.0822	0.04	11	2.0878
2.3128	0.05	12	2.0823
1.9674	0.05	13	2.0775
2.0991	0.06	14	2.0739
2.1918	0.06	15	2.0707
2.0037	0.06	16	2.0684
2.0398	0.07	17	2.0669
2.1113	0.07	18	2.0661
1.9206	0.08	19	2.0657
1.6649	0.08	20	2.0656

Framework versions

PEFT 0.4.0
Transformers 4.37.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2

hussamsal/final_model-3

final_model-3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hussamsal/
final_model-3