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G-ML-Hyly/
stg-cli13b-t6-cdp-ca.mt.him.cln.inter-b4s1e1-20231219-1611

Name: stg-cli13b-t6-cdp-ca.mt.him.cln.inter-b4s1e1-20231219-1611
Availability: InStock

peft

safetensors

generated_from_trainer

codellama/CodeLlama-13b-Instruct-hf

adapter

llama2

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stg-cli13b-t6-cdp-ca.mt.him.cln.inter-b4s1e1-20231219-1611

This model is a fine-tuned version of codellama/CodeLlama-13b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0488

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3427	0.03	100	0.0761
0.0683	0.07	200	0.0660
0.0619	0.1	300	0.0600
0.057	0.14	400	0.0576
0.0552	0.17	500	0.0561
0.056	0.21	600	0.0566
0.055	0.24	700	0.0545
0.0535	0.28	800	0.0551
0.0533	0.31	900	0.0538
0.0542	0.35	1000	0.0553
0.0532	0.38	1100	0.0539
0.0523	0.42	1200	0.0535
0.0518	0.45	1300	0.0522
0.0515	0.49	1400	0.0527
0.0517	0.52	1500	0.0516
0.0527	0.56	1600	0.0516
0.0506	0.59	1700	0.0509
0.0516	0.63	1800	0.0506
0.0504	0.66	1900	0.0504
0.0496	0.7	2000	0.0502
0.0497	0.73	2100	0.0499
0.0493	0.77	2200	0.0499
0.0497	0.8	2300	0.0496
0.0494	0.83	2400	0.0493
0.0494	0.87	2500	0.0490
0.0488	0.9	2600	0.0489
0.0483	0.94	2700	0.0488
0.0483	0.97	2800	0.0488

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Training procedure

The following bitsandbytes quantization config was used during training:

quant_method: QuantizationMethod.BITS_AND_BYTES
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 0.6.2

G-ML-Hyly/stg-cli13b-t6-cdp-ca.mt.him.cln.inter-b4s1e1-20231219-1611

stg-cli13b-t6-cdp-ca.mt.him.cln.inter-b4s1e1-20231219-1611

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Training procedure

Framework versions

G-ML-Hyly/
stg-cli13b-t6-cdp-ca.mt.him.cln.inter-b4s1e1-20231219-1611