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{ |
|
"_name_or_path": "VietAI/vit5-large", |
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"architectures": [ |
|
"T5ForConditionalGeneration" |
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], |
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"classifier_dropout": 0.0, |
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"d_ff": 2816, |
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"d_kv": 64, |
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"d_model": 1024, |
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"decoder_start_token_id": 0, |
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"dense_act_fn": "gelu_new", |
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"dropout_rate": 0.1, |
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"eos_token_id": 1, |
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"feed_forward_proj": "gated-gelu", |
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"initializer_factor": 1.0, |
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"is_encoder_decoder": true, |
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"is_gated_act": true, |
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"layer_norm_epsilon": 1e-06, |
|
"model_type": "t5", |
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"num_decoder_layers": 24, |
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"num_heads": 16, |
|
"num_layers": 24, |
|
"output_past": true, |
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"pad_token_id": 0, |
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"relative_attention_max_distance": 128, |
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"relative_attention_num_buckets": 32, |
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"tie_word_embeddings": false, |
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"torch_dtype": "float32", |
|
"transformers_version": "4.36.0", |
|
"use_cache": false, |
|
"vocab_size": 36100 |
|
} |
|
|