Upload T5ForConditionalGeneration
Browse files- config.json +50 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "amazon/chronos-t5-large",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"chronos_config": {
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"context_length": 512,
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"eos_token_id": 1,
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"model_type": "seq2seq",
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"n_special_tokens": 2,
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"n_tokens": 4096,
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"num_samples": 20,
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"pad_token_id": 0,
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"prediction_length": 64,
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"temperature": 1.0,
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"tokenizer_class": "MeanScaleUniformBins",
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"tokenizer_kwargs": {
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"high_limit": 15.0,
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"low_limit": -15.0
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},
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"top_k": 50,
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"top_p": 1.0,
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"use_eos_token": true
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},
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"classifier_dropout": 0.0,
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"d_ff": 4096,
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"d_kv": 64,
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"d_model": 1024,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 0.05,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 24,
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"num_heads": 16,
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"num_layers": 24,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.33.3",
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"use_cache": true,
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"vocab_size": 4096
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.33.3"
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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 sha256:88ce18b6c02490a9a6ddb1cf35bfd8f5bed62629653a181bc551eb59b689cde2
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size 2836022718
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