|
{ |
|
"dataset_name": "c4", |
|
"max_seq_len": 64, |
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"enc_dec_model": "facebook/bart-base", |
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"train_batch_size": 64, |
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"eval_batch_size": 32, |
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"num_encoder_latents": 32, |
|
"num_decoder_latents": 32, |
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"dim_ae": 64, |
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"num_layers": 3, |
|
"l2_normalize_latents": true, |
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"output_dir": "saved_latent_models/c4/2024-09-22_02-30-27", |
|
"save_dir": "saved_latent_models", |
|
"learning_rate": 0.0001, |
|
"num_train_steps": 50000, |
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"lr_schedule": "linear", |
|
"lr_warmup_steps": 1000, |
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"optimizer": "adamw", |
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"adam_beta1": 0.9, |
|
"adam_beta2": 0.999, |
|
"adam_weight_decay": 0.01, |
|
"eval_every": 10000, |
|
"mixed_precision": "no", |
|
"wandb_name": "bart-roc-l2norm-test-32-64", |
|
"lm_mode": "freeze", |
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"eval": false, |
|
"resume_training": false, |
|
"resume_dir": null, |
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"num_devices": 1 |
|
} |
|
|