This model is a fine-tuned version of EleutherAI/pythia-1.4b on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 1.3818

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: 2e-05
train_batch_size: 12
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 96
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.376	1.0	1335	1.3818

Framework versions

Transformers 4.36.2
Pytorch 2.2.1
Datasets 2.14.6
Tokenizers 0.15.2

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	34.68
AI2 Reasoning Challenge (25-Shot)	32.68
HellaSwag (10-Shot)	52.08
MMLU (5-Shot)	25.44
TruthfulQA (0-shot)	38.42
Winogrande (5-shot)	57.46
GSM8k (5-shot)	1.97

RichardErkhov/nnheui_-_pythia-1.4b-sft-full-awq

Original model description:

pythia-1.4b-sft-full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Open LLM Leaderboard Evaluation Results

RichardErkhov/
nnheui_-_pythia-1.4b-sft-full-awq