I am interested in using this model on some classification tasks, but when I have tried to set up the fine_tuning script using AutoModelForSequenceClassification, I get an error (see below). I assume this is because the StripedHyena is a new type of model. Do you have any suggestions?
Thank you.
LeAnn
Traceback (most recent call last):
File "/home/llindsey1/CHPC/evo_finetune.py", line 32, in
seq_classification_model = AutoModelForSequenceClassification.from_config(config)
File "/home/llindsey1/.conda/envs/EVO/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 437, in from_config
raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers_modules.togethercomputer.evo-1-131k-base.8eb9480ea22de5f86eeebc1199a76b63b42d7170.configuration_hyena.StripedHyenaConfig'> for this kind of AutoModel: AutoModelForSequenceClassification.
Model type should be one of AlbertConfig, BartConfig, BertConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BloomConfig, CamembertConfig, CanineConfig, LlamaConfig, ConvBertConfig, CTRLConfig, Data2VecTextConfig, DebertaConfig, DebertaV2Config, DistilBertConfig, ElectraConfig, ErnieConfig, ErnieMConfig, EsmConfig, FalconConfig, FlaubertConfig, FNetConfig, FunnelConfig, GemmaConfig, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTJConfig, IBertConfig, LayoutLMConfig, LayoutLMv2Config, LayoutLMv3Config, LEDConfig, LiltConfig, LlamaConfig, LongformerConfig, LukeConfig, MarkupLMConfig, MBartConfig, MegaConfig, MegatronBertConfig, MistralConfig, MixtralConfig, MobileBertConfig, MPNetConfig, MptConfig, MraConfig, MT5Config, MvpConfig, NezhaConfig, NystromformerConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, PerceiverConfig, PersimmonConfig, PhiConfig, PLBartConfig, QDQBertConfig, Qwen2Config, ReformerConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, SqueezeBertConfig, StableLmConfig, T5Config, TapasConfig, TransfoXLConfig, UMT5Config, XLMConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, XmodConfig, YosoConfig.
I am interested in using this model on some classification tasks, but when I have tried to set up the fine_tuning script using AutoModelForSequenceClassification, I get an error (see below). I assume this is because the StripedHyena is a new type of model. Do you have any suggestions?
Thank you. LeAnn
Traceback (most recent call last): File "/home/llindsey1/CHPC/evo_finetune.py", line 32, in
seq_classification_model = AutoModelForSequenceClassification.from_config(config)
File "/home/llindsey1/.conda/envs/EVO/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 437, in from_config
raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers_modules.togethercomputer.evo-1-131k-base.8eb9480ea22de5f86eeebc1199a76b63b42d7170.configuration_hyena.StripedHyenaConfig'> for this kind of AutoModel: AutoModelForSequenceClassification.
Model type should be one of AlbertConfig, BartConfig, BertConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BloomConfig, CamembertConfig, CanineConfig, LlamaConfig, ConvBertConfig, CTRLConfig, Data2VecTextConfig, DebertaConfig, DebertaV2Config, DistilBertConfig, ElectraConfig, ErnieConfig, ErnieMConfig, EsmConfig, FalconConfig, FlaubertConfig, FNetConfig, FunnelConfig, GemmaConfig, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTJConfig, IBertConfig, LayoutLMConfig, LayoutLMv2Config, LayoutLMv3Config, LEDConfig, LiltConfig, LlamaConfig, LongformerConfig, LukeConfig, MarkupLMConfig, MBartConfig, MegaConfig, MegatronBertConfig, MistralConfig, MixtralConfig, MobileBertConfig, MPNetConfig, MptConfig, MraConfig, MT5Config, MvpConfig, NezhaConfig, NystromformerConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, PerceiverConfig, PersimmonConfig, PhiConfig, PLBartConfig, QDQBertConfig, Qwen2Config, ReformerConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, SqueezeBertConfig, StableLmConfig, T5Config, TapasConfig, TransfoXLConfig, UMT5Config, XLMConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, XmodConfig, YosoConfig.