| | |
| | |
| | |
| |
|
| | from transformers.configuration_utils import PretrainedConfig |
| |
|
| | CODESAGE_PRETRAINED_CONFIG_ARCHIVE_MAP = { |
| | "codesage/codesage-small": "https://huggingface.co/codesage/codesage-small/resolve/main/config.json", |
| | "codesage/codesage-base": "https://huggingface.co/codesage/codesage-base/resolve/main/config.json", |
| | "codesage/codesage-large": "https://huggingface.co/codesage/codesage-large/resolve/main/config.json", |
| | } |
| |
|
| |
|
| | class CodeSageConfig(PretrainedConfig): |
| | model_type = "codesage" |
| |
|
| | def __init__( |
| | self, |
| | vocab_size=50257, |
| | max_position_embeddings=1024, |
| | hidden_size=768, |
| | num_hidden_layers=12, |
| | num_attention_heads=12, |
| | intermediate_size=3072, |
| | activation_function="gelu_new", |
| | residual_dropout_prob=0.1, |
| | embedding_dropout_prob=0.1, |
| | attention_dropout_prob=0.1, |
| | layer_norm_epsilon=1e-5, |
| | initializer_range=0.02, |
| | position_embedding_type='absolute', |
| | bos_token_id=0, |
| | eos_token_id=0, |
| | pad_token_id=49153, |
| | **kwargs |
| | ): |
| | self.vocab_size = vocab_size |
| | self.max_position_embeddings = max_position_embeddings |
| | self.hidden_size = hidden_size |
| | self.num_hidden_layers = num_hidden_layers |
| | self.num_attention_heads = num_attention_heads |
| | self.intermediate_size = intermediate_size |
| | assert 'gelu' in activation_function |
| | self.activation_function = activation_function |
| | self.residual_dropout_prob = residual_dropout_prob |
| | self.embedding_dropout_prob = embedding_dropout_prob |
| | self.attention_dropout_prob = attention_dropout_prob |
| | self.layer_norm_epsilon = layer_norm_epsilon |
| | self.initializer_range = initializer_range |
| | self.position_embedding_type = position_embedding_type |
| |
|
| | super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs) |
| |
|
