mirror of
https://github.com/amazon-science/chronos-forecasting
synced 2026-05-24 10:08:33 +00:00
48 lines
1.1 KiB
JSON
48 lines
1.1 KiB
JSON
{
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 32,
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"d_kv": 16,
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"d_model": 64,
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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": 1,
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"num_heads": 1,
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"num_layers": 1,
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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": "bfloat16",
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"transformers_version": "4.31.0",
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"use_cache": true,
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"vocab_size": 32,
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"chronos_config": {
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"tokenizer_class": "MeanScaleUniformBins",
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"tokenizer_kwargs": {
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"low_limit": -15.0,
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"high_limit": 15.0
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},
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"n_tokens": 32,
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"n_special_tokens": 2,
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"pad_token_id": 0,
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"eos_token_id": 1,
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"use_eos_token": true,
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"model_type": "seq2seq",
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"context_length": 512,
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"prediction_length": 64,
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"num_samples": 20,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0
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}
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}
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