Upload M2M100ForConditionalGeneration
Browse files- config.json +43 -0
- generation_config.json +11 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "./base_model/en-ig_finetuned_model_5e-5",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"adapters": {
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"adapters": {},
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"config_map": {},
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"fusion_config_map": {},
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"fusions": {}
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},
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"architectures": [
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"M2M100ForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.05,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.05,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_length": 200,
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"max_position_embeddings": 1024,
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"model_type": "m2m_100",
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"num_beams": 5,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"scale_embedding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"use_cache": true,
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"vocab_size": 128112
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.26.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:142998df634c9083646bfca9b401ced40dc3ff6cf78c4293a92e795b6038728e
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size 1944201798
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