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Healthcare_AI

PyTorch
falcon
custom_code
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Healthcare_AI
File size: 1,390 Bytes
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{
  "alibi": false,
  "apply_residual_connection_post_layernorm": false,
  "architectures": [
    "FalconForCausalLM"
  ],
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_falcon.FalconConfig",
    "AutoModel": "modeling_falcon.FalconModel",
    "AutoModelForSequenceClassification": "modeling_falcon.FalconForSequenceClassification",
    "AutoModelForTokenClassification": "modeling_falcon.FalconForTokenClassification",
    "AutoModelForQuestionAnswering": "modeling_falcon.FalconForQuestionAnswering",
    "AutoModelForCausalLM": "modeling_falcon.FalconForCausalLM"
  },
  "bias": false,
  "bos_token_id": 11,
  "eos_token_id": 11,
  "hidden_dropout": 0.0,
  "hidden_size": 4544,
  "initializer_range": 0.02,
  "layer_norm_epsilon": 1e-05,
  "model_type": "falcon",
  "multi_query": true,
  "new_decoder_architecture": false,
  "num_attention_heads": 71,
  "num_hidden_layers": 32,
  "parallel_attn": true,
  "torch_dtype": "float16",
  "transformers_version": "4.27.4",
  "use_cache": false,
  "vocab_size": 65024,
  "fine_tuned": true,
  "fine_tuning_details": {
    "gradient_accumulation_steps": 2,
    "num_train_epochs": 0.5,
    "max_steps": 100,
    "learning_rate": 2e-4,
    "optimizer": "paged_adamw_8bit",
    "lr_scheduler_type": "cosine",
    "warmup_ratio": 0.05,
    "gradient_checkpointing": true,
    "fine_tuned_on": "custom dataset"
  }
}