config.json

{
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  "architectures": [
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  ],
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  "attn_config": {
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    "architectures": null,
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    "exponential_decay_length_penalty": null,
    "finetuning_task": null,
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    "id2label": {
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      "1": "LABEL_1"
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    "is_decoder": false,
    "is_encoder_decoder": false,
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      "LABEL_0": 0,
      "LABEL_1": 1
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    "max_length": 20,
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    "model_type": "",
    "no_repeat_ngram_size": 0,
    "num_beam_groups": 1,
    "num_beams": 1,
    "num_return_sequences": 1,
    "output_attentions": false,
    "output_hidden_states": false,
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    "pad_token_id": null,
    "prefix": null,
    "prefix_lm": false,
    "problem_type": null,
    "pruned_heads": {},
    "qk_ln": false,
    "remove_invalid_values": false,
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    "return_dict": true,
    "return_dict_in_generate": false,
    "sep_token_id": null,
    "softmax_scale": null,
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    "task_specific_params": null,
    "temperature": 1.0,
    "tf_legacy_loss": false,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
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  "gradient_checkpointing": false,
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  "id2label": {
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    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "init_device": "cpu",
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  "is_decoder": true,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "layer_norm_epsilon": 1e-05,
  "learned_pos_emb": true,
  "logit_scale": null,
  "max_seq_len": 2048,
  "model_type": "mpt",
  "n_heads": 4,
  "n_layers": 5,
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  "no_bias": true,
  "norm_type": "low_precision_layernorm",
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  "torch_dtype": "float32",
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  "type_vocab_size": 16,
  "use_cache": true,
  "verbose": 0,
  "vocab_size": 1024
}