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RichardErkhov/
pkarypis_-_gpt2-sft-dutch-gguf

Name: pkarypis_-_gpt2-sft-dutch-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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gpt2-sft-dutch - GGUF

Model creator: https://huggingface.co/pkarypis/
Original model: https://huggingface.co/pkarypis/gpt2-sft-dutch/

Name	Quant method	Size
gpt2-sft-dutch.Q2_K.gguf	Q2_K	0.03GB
gpt2-sft-dutch.IQ3_XS.gguf	IQ3_XS	0.04GB
gpt2-sft-dutch.IQ3_S.gguf	IQ3_S	0.04GB
gpt2-sft-dutch.Q3_K_S.gguf	Q3_K_S	0.04GB
gpt2-sft-dutch.IQ3_M.gguf	IQ3_M	0.04GB
gpt2-sft-dutch.Q3_K.gguf	Q3_K	0.04GB
gpt2-sft-dutch.Q3_K_M.gguf	Q3_K_M	0.04GB
gpt2-sft-dutch.Q3_K_L.gguf	Q3_K_L	0.04GB
gpt2-sft-dutch.IQ4_XS.gguf	IQ4_XS	0.04GB
gpt2-sft-dutch.Q4_0.gguf	Q4_0	0.04GB
gpt2-sft-dutch.IQ4_NL.gguf	IQ4_NL	0.04GB
gpt2-sft-dutch.Q4_K_S.gguf	Q4_K_S	0.04GB
gpt2-sft-dutch.Q4_K.gguf	Q4_K	0.04GB
gpt2-sft-dutch.Q4_K_M.gguf	Q4_K_M	0.04GB
gpt2-sft-dutch.Q4_1.gguf	Q4_1	0.04GB
gpt2-sft-dutch.Q5_0.gguf	Q5_0	0.05GB
gpt2-sft-dutch.Q5_K_S.gguf	Q5_K_S	0.05GB
gpt2-sft-dutch.Q5_K.gguf	Q5_K	0.05GB
gpt2-sft-dutch.Q5_K_M.gguf	Q5_K_M	0.05GB
gpt2-sft-dutch.Q5_1.gguf	Q5_1	0.05GB
gpt2-sft-dutch.Q6_K.gguf	Q6_K	0.05GB
gpt2-sft-dutch.Q8_0.gguf	Q8_0	0.07GB

Original model description:

license: apache-2.0 base_model: JackFram/llama-68m tags:

alignment-handbook
trl
sft
generated_from_trainer
trl
sft
generated_from_trainer datasets:
HuggingFaceH4/ultrachat_200k model-index:
name: gpt2-sft-dutch results: []

gpt2-sft-dutch

This model is a fine-tuned version of JackFram/llama-68m on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 2.0464

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.075	1.0	9129	2.0464

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2

RichardErkhov/pkarypis_-_gpt2-sft-dutch-gguf

Original model description:

gpt2-sft-dutch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
pkarypis_-_gpt2-sft-dutch-gguf