Azad
Training in progress, step 500
245f8e0 verified
raw
history blame
1.24 kB
{
"_name_or_path": "ai4bharat/IndicBART",
"activation_dropout": 0.1,
"activation_function": "gelu",
"architectures": [
"T5ForConditionalGeneration"
],
"attention_dropout": 0.1,
"bos_token_id": 64000,
"classifier_dropout": 0.0,
"d_ff": 2048,
"d_kv": 64,
"d_model": 1024,
"decoder_attention_heads": 16,
"decoder_ffn_dim": 4096,
"decoder_layerdrop": 0.0,
"decoder_layers": 6,
"decoder_start_token_id": 0,
"dense_act_fn": "relu",
"dropout": 0.1,
"dropout_rate": 0.1,
"encoder_attention_heads": 16,
"encoder_ffn_dim": 4096,
"encoder_layerdrop": 0.0,
"encoder_layers": 6,
"eos_token_id": 64001,
"feed_forward_proj": "relu",
"gradient_checkpointing": false,
"init_std": 0.02,
"initializer_factor": 1.0,
"is_encoder_decoder": true,
"is_gated_act": false,
"layer_norm_epsilon": 1e-06,
"max_position_embeddings": 1024,
"model_type": "t5",
"num_decoder_layers": 6,
"num_heads": 8,
"num_layers": 6,
"pad_token_id": 0,
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"scale_embedding": false,
"tokenizer_class": "AlbertTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.42.4",
"use_cache": true,
"vocab_size": 64014
}