tabby/converter/testdata/1-gpu/config.ini

87 lines
2.0 KiB
INI

[gpt]
saved_dir = out
in_file = hf-internal-testing/tiny-random-gptj
trained_gpu_num = 1
infer_gpu_num = 1
processes = 4
weight_data_type = fp32
vocab_size = 1000
n_positions = 512
n_embd = 32
n_layer = 5
n_head = 4
n_inner = None
rotary_dim = 4
activation_function = gelu_new
resid_pdrop = 0.0
embd_pdrop = 0.0
attn_pdrop = 0.0
layer_norm_epsilon = 1e-05
initializer_range = 0.02
use_cache = True
bos_token_id = 98
eos_token_id = 98
return_dict = True
output_hidden_states = False
output_attentions = False
torchscript = False
torch_dtype = None
use_bfloat16 = False
tf_legacy_loss = False
pruned_heads = {}
tie_word_embeddings = False
is_encoder_decoder = False
is_decoder = False
cross_attention_hidden_size = None
add_cross_attention = False
tie_encoder_decoder = False
max_length = 20
min_length = 0
do_sample = False
early_stopping = False
num_beams = 1
num_beam_groups = 1
diversity_penalty = 0.0
temperature = 1.0
top_k = 50
top_p = 1.0
typical_p = 1.0
repetition_penalty = 1.0
length_penalty = 1.0
no_repeat_ngram_size = 0
encoder_no_repeat_ngram_size = 0
bad_words_ids = None
num_return_sequences = 1
chunk_size_feed_forward = 0
output_scores = False
return_dict_in_generate = False
forced_bos_token_id = None
forced_eos_token_id = None
remove_invalid_values = False
exponential_decay_length_penalty = None
suppress_tokens = None
begin_suppress_tokens = None
architectures = None
finetuning_task = None
id2label = {0: 'LABEL_0', 1: 'LABEL_1'}
label2id = {'LABEL_0': 0, 'LABEL_1': 1}
tokenizer_class = None
prefix = None
pad_token_id = 98
sep_token_id = None
decoder_start_token_id = None
task_specific_params = None
problem_type = None
_name_or_path = hf-internal-testing/tiny-random-gptj
_commit_hash = b96595a4bcdeb272096214589efa0314259853a0
transformers_version = 4.11.0.dev0
attention_probs_dropout_prob = 0.0
gradient_checkpointing = False
hidden_act = gelu
hidden_dropout_prob = 0.0
intermediate_size = 37
model_type = gptj
n_ctx = 512
scale_attn_weights = True
type_vocab_size = 16