metadata

library_name: transformers
language:
  - en
license: apache-2.0
base_model: pszemraj/tFINE-850m-24x24-v0.4-flan_aug
metrics:
  - rouge
datasets:
  - pszemraj/infinity-instruct-7m-T2T_en
pipeline_tag: text2text-generation

tFINE-850m-24x24-v0.5-instruct-L1

This model is a fine-tuned version of pszemraj/tFINE-850m-24x24-v0.4-flan_aug on the pszemraj/infinity-instruct-7m-T2T_en dataset. It achieves the following results on the evaluation set:

Loss: 1.1478
Rouge1: 38.4805
Rouge2: 22.5971
Rougel: 31.1093
Rougelsum: 36.596
Gen Len: 441.475
Num Input Tokens Seen: 435513684

usage

from transformers import pipeline

pipe = pipeline(
    "text2text-generation",
    model="pszemraj/tFINE-850m-24x24-v0.5-instruct-L1",
    device_map="auto",
)
prompt = "write a python script to download a file from a url and save as a local file using requests. explain how it works"
res = pipe(
    prompt,
    max_new_tokens=192,
    top_k=4,
    penalty_alpha=0.6,
    renormalize_logits=True,
    no_repeat_ngram_size=5,
)
print(res[0]["generated_text"])

Quick eval

Quick eval for: pszemraj/tFINE-850m-24x24-v0.5-instruct-L1

hf (pretrained=pszemraj/tFINE-850m-24x24-v0.5-instruct-L1,trust_remote_code=True,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 8

Tasks	Version	Filter	n-shot	Metric		Value		Stderr
boolq	2	none	0	acc	↑	0.5661	±	0.0087
openbookqa	1	none	0	acc	↑	0.1540	±	0.0162
		none	0	acc_norm	↑	0.2960	±	0.0204
piqa	1	none	0	acc	↑	0.6094	±	0.0114
		none	0	acc_norm	↑	0.5952	±	0.0115
social_iqa	0	none	0	acc	↑	0.3900	±	0.0110
tinyArc	0	none	25	acc_norm	↑	0.2903	±	N/A
tinyGSM8k	0	flexible-extract	5	exact_match	↑	0.0471	±	N/A
		strict-match	5	exact_match	↑	0.0339	±	N/A
tinyHellaswag	0	none	10	acc_norm	↑	0.2490	±	N/A
tinyMMLU	0	none	0	acc_norm	↑	0.3021	±	N/A
winogrande	1	none	0	acc	↑	0.4925	±	0.0141