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{ |
|
"_name_or_path": "VietAI/vit5-base", |
|
"architectures": [ |
|
"T5ForConditionalGeneration" |
|
], |
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"classifier_dropout": 0.0, |
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"d_ff": 3072, |
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"d_kv": 64, |
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"d_model": 768, |
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"decoder_start_token_id": 0, |
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"dense_act_fn": "relu", |
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"dropout_rate": 0.1, |
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"eos_token_id": 1, |
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"feed_forward_proj": "relu", |
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"initializer_factor": 1.0, |
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"is_encoder_decoder": true, |
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"is_gated_act": false, |
|
"layer_norm_epsilon": 1e-06, |
|
"model_type": "t5", |
|
"n_positions": 512, |
|
"num_decoder_layers": 12, |
|
"num_heads": 12, |
|
"num_layers": 12, |
|
"output_past": true, |
|
"pad_token_id": 0, |
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"relative_attention_max_distance": 128, |
|
"relative_attention_num_buckets": 32, |
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"torch_dtype": "float32", |
|
"transformers_version": "4.41.2", |
|
"use_cache": true, |
|
"vocab_size": 36096 |
|
} |
|
|