Reddit_Model_2 / config.json
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{
"architectures": [
"EncoderDecoderModel"
],
"decoder": {
"_name_or_path": "gpt2-medium",
"activation_function": "gelu_new",
"add_cross_attention": true,
"architectures": [
"GPT2LMHeadModel"
],
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"diversity_penalty": 0.0,
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"id2label": {
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},
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"label2id": {
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},
"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_inner": null,
"n_layer": 24,
"n_positions": 1024,
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"predict_special_tokens": true,
"prefix": null,
"problem_type": null,
"pruned_heads": {},
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
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"task_specific_params": {
"text-generation": {
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"max_length": 50
}
},
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"tie_encoder_decoder": false,
"tie_word_embeddings": true,
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"use_cache": true,
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},
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"encoder": {
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"activation": "gelu",
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"architectures": [
"DistilBertForMaskedLM"
],
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"encoder_no_repeat_ngram_size": 0,
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"exponential_decay_length_penalty": null,
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"hidden_dim": 3072,
"id2label": {
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"1": "LABEL_1"
},
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"label2id": {
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},
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"model_type": "distilbert",
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},
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"torch_dtype": "float32",
"transformers_version": null
}