Upload OPTForCausalLM
Browse files- config.json +41 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "analogy_models/opt-350m-analogy-epoch15-p/model",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"do_layer_norm_before": false,
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"dropout": 0.1,
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"enable_bias": true,
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"eos_token_id": 2,
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"ffn_dim": 4096,
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"finetuing_config": {
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"batch_size": 32,
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"data": "relbert/semeval2012_relational_similarity",
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"epoch": 15,
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"gradient_accumulation_steps": 1,
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"learning_rate": 0.0001,
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"model": "facebook/opt-350m",
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"random_seed": 42,
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"template": "<subj-a> is to <obj-a> what <subj-b> is to <obj-b>"
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},
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"hidden_size": 1024,
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"init_std": 0.02,
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"layer_norm_elementwise_affine": true,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"prefix": "</s>",
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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": 50272,
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"word_embed_proj_dim": 512
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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": 2,
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"eos_token_id": 2,
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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 sha256:04965e01048c1616ff53537a3c630a8467a9abfc890b99f79077e0bc228f4388
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size 1324911837
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