tiny-xlm-roberta / config.json
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new tiny model
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{
"architectures": [
"XLMRobertaForCausalLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"d_ff": 256,
"d_kv": 8,
"d_model": 64,
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 256,
"initializer_range": 0.02,
"intermediate_size": 256,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 64,
"model_type": "xlm-roberta",
"num_attention_heads": 2,
"num_decoder_layers": 2,
"num_heads": 2,
"num_hidden_layers": 2,
"num_layers": 2,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"relative_attention_num_buckets": 32,
"torch_dtype": "float16",
"transformers_version": "4.9.0.dev0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 5002
}