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slots/0/checkpoint-67/config.json
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{
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"architectures": [
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"MinixForCausalLM"
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],
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"attention_dropout": 0.0,
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"dtype": "float32",
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"hidden_dropout": 0.0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"max_position_embeddings": 128,
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"model_type": "minix",
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"neftune_alpha": 0.0,
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"num_attention_heads": 12,
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"num_hidden_layers": 1,
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"num_key_value_heads": 3,
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"qk_norm": true,
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"rezero_init": 1.0,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"transformers_version": "5.0.0",
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"use_cache": false,
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"vocab_size": 32000
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}
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slots/0/checkpoint-67/trainer_state.json
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{
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"best_global_step": null,
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.004348171739804105,
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"eval_steps": 500,
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"global_step": 67,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 6.489808566871798e-05,
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"grad_norm": 109.46859741210938,
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"learning_rate": 5e-05,
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"loss": 421.4660949707031,
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"step": 1
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},
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{
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"epoch": 0.0012979617133743598,
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"grad_norm": 88.54906463623047,
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"learning_rate": 4.999996998926224e-05,
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"loss": 390.39101048519734,
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"step": 20
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},
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{
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"epoch": 0.0025959234267487197,
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"grad_norm": 60.599815368652344,
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"learning_rate": 4.999987355594792e-05,
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"loss": 341.1005126953125,
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"step": 40
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},
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{
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"epoch": 0.003893885140123079,
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"grad_norm": 42.03083419799805,
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"learning_rate": 4.999971061718136e-05,
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"loss": 318.29091796875,
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"step": 60
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}
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],
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"logging_steps": 20,
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"max_steps": 38523,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 3,
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"save_steps": 1000000000,
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"stateful_callbacks": {
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"TrainerControl": {
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"args": {
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"should_epoch_stop": false,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": false
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},
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"attributes": {}
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}
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},
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"total_flos": 69412948162560.0,
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"train_batch_size": 1,
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"trial_name": null,
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"trial_params": null
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}
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