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  1. config.json +50 -0
  2. generation_config.json +7 -0
  3. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "/lustre/orion/csc605/scratch/hstellar/chronos/Experiments/chronos-large-v5_nmt/2/checkpoint-6100",
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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": "4.44.2",
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+ "use_cache": true,
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+ "vocab_size": 4096
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+ }
generation_config.json ADDED
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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": "4.44.2"
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+ }
pytorch_model.bin ADDED
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+ size 2836022718