add model
Browse files- config.json +65 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "parhamabedazad/ft-bz",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_dropout": 0.1,
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"attn_pdrop": 0.1,
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"beta1": 0.9,
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"beta2": 0.98,
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"bos_token_id": 8,
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"data_path": "",
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"embd_pdrop": 0.1,
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"embed_dropout": 0.1,
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"eos_token_id": 9,
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"epsilon": 1e-09,
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"eval_batch_size": 128,
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"eval_steps": 10,
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"gradient_checkpointing": false,
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"initializer_range": 0.02,
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"iterations": 1000,
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"layer_norm_epsilon": 1e-05,
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"line_count": 1,
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"lr": 0.00025,
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"max_steps": 3600000,
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"model": "GPT2",
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"model_type": "gpt2",
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"n_ctx": 256,
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"n_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"n_positions": 256,
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"n_vocab": 25000,
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"opt_name": "adam",
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"precision": "float32",
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"predict_batch_size": 8,
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"reorder_and_upcast_attn": false,
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"res_dropout": 0.1,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"scale_by_depth": true,
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"scale_by_in": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"tokenizer_class": "AlbertTokenizer",
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"torch_dtype": "float32",
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"train_batch_size": 320,
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"train_steps": 10000,
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"transformers_version": "4.15.0",
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"use_cache": true,
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"vocab_size": 25000,
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"warmup_steps": 2000,
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"weight_decay": 0.01
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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 sha256:2d4db8ce06017dda01f8147a89b6ac992da95111b5cbfde41d165255481f3cae
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size 1314389977
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