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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: tiny-llama-3-gelu
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # tiny-llama-3-gelu
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3376
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: constant
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+ - training_steps: 10000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 4.7181 | 0.0319 | 500 | 2.3297 |
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+ | 3.8008 | 0.0637 | 1000 | 1.9001 |
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+ | 3.4600 | 0.0956 | 1500 | 1.7322 |
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+ | 3.2888 | 0.1274 | 2000 | 1.6443 |
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+ | 3.1567 | 0.1593 | 2500 | 1.5846 |
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+ | 3.0631 | 0.1911 | 3000 | 1.5423 |
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+ | 3.0362 | 0.2230 | 3500 | 1.5104 |
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+ | 2.9560 | 0.2548 | 4000 | 1.4824 |
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+ | 2.9084 | 0.2867 | 4500 | 1.4600 |
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+ | 2.8723 | 0.3185 | 5000 | 1.4424 |
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+ | 2.8515 | 0.3504 | 5500 | 1.4256 |
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+ | 2.8194 | 0.3823 | 6000 | 1.4123 |
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+ | 2.7946 | 0.4141 | 6500 | 1.3995 |
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+ | 2.7780 | 0.4460 | 7000 | 1.3887 |
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+ | 2.7546 | 0.4778 | 7500 | 1.3774 |
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+ | 2.7302 | 0.5097 | 8000 | 1.3686 |
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+ | 2.7196 | 0.5415 | 8500 | 1.3599 |
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+ | 2.7139 | 0.5734 | 9000 | 1.3530 |
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+ | 2.6833 | 0.6052 | 9500 | 1.3448 |
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+ | 2.6637 | 0.6371 | 10000 | 1.3376 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.15.0.dev0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 5.0.1
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+ - Tokenizers 0.22.2
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+ {% for message in messages %}
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+ {% if message['role'] == 'user' %}
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+ {{ '<|user|>
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+ ' + message['content'] + eos_token }}
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+ {% endif %}
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+ {% endif %}
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+ {% endfor %}
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+ {% endfor %}
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@@ -24,3 +24,6 @@ config: {'_wandb': {}}
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  2026-08-03 20:02:10,014 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 32000, 'hidden_size': 512, 'intermediate_size': 768, 'num_hidden_layers': 16, 'num_attention_heads': 8, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, '_name_or_path': '', 'tokenizer_name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'glu_activation': 'gelu', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/gelu_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 10000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 2, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 50, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': None, 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 500, 'eval_delay': 0, 'per_device_eval_batch_size': 32, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 1000, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/tiny-llama-3-gelu', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
25
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 52052480 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14c10d603910>>
26
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 52052480 None
 
 
 
 
24
  2026-08-03 20:02:10,014 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 32000, 'hidden_size': 512, 'intermediate_size': 768, 'num_hidden_layers': 16, 'num_attention_heads': 8, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, '_name_or_path': '', 'tokenizer_name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'glu_activation': 'gelu', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/gelu_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 10000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 2, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 50, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': None, 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 500, 'eval_delay': 0, 'per_device_eval_batch_size': 32, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 1000, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/tiny-llama-3-gelu', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
25
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 52052480 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14c10d603910>>
26
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 52052480 None
27
+ 2026-08-03 21:05:27,837 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 32000, 'hidden_size': 512, 'intermediate_size': 768, 'num_hidden_layers': 16, 'num_attention_heads': 8, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, '_name_or_path': '', 'tokenizer_name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'glu_activation': 'relu', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/relu_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 10000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 2, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 50, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': None, 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 500, 'eval_delay': 0, 'per_device_eval_batch_size': 32, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 1000, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/tiny-llama-3-relu', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
28
+ 2026-08-03 21:05:27,841 INFO MainThread:2875822 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 52052480 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14c10d603910>>
29
+ 2026-08-03 21:05:27,841 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 52052480 None
wandb/run-20260803_185911-6gj59z3n/files/output.log CHANGED
@@ -598,7 +598,7 @@ Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
598
  Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:00<00:00, 4.18it/s]
599
  /mnt/data/zainulabideen/zain-exp/notebooks/2/Activation/exp.py:416: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /pytorch/aten/src/ATen/native/ReduceOps.cpp:1831.)
600
  "std": tensor.std().item(),
601
- 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 9900/10000 [1:01:47<00:33, 2.98it/s]
602
  {'loss': '2.691', 'grad_norm': '0.6125', 'learning_rate': '0.0003', 'epoch': '0.5766', 'train/total_time_seconds': '2535', 'train/time_per_step_avg': '0.2939', 'train/epoch_time_elapsed': '3406', 'train/estimated_remaining_minutes': '4.435', 'train/global/act/norm': '2.298e+05', 'train/global/act/mean': '-1.405', 'train/global/act/std': '3.092', 'train/global/act/max_abs': '61.87', 'train/global/act/frac_near_dtype_limit': '0', 'train/global/act/frac_near_user_limit': '4.052e-08', 'train/global/grad/norm': '0.5897', 'train/global/grad/mean': '4.923e-09', 'train/global/grad/std': '5.779e-05', 'train/global/grad/max_abs': '0.008638', 'train/global/grad/frac_near_dtype_limit': '0', 'train/global/grad/frac_near_user_limit': '0', 'train/global/param/norm': '310.2', 'train/global/param/mean': '0.0001399', 'train/global/param/std': '0.043', 'train/global/param/max_abs': '1.638', 'train/global/param/frac_near_dtype_limit': '0', 'train/global/param/frac_near_user_limit': '0', 'train/layer__model_layers_14/param/norm': '65.16', 'train/layer__model_layers_14/param/mean': '0.0004898', 'train/layer__model_layers_14/param/std': '0.04364', 'train/layer__model_layers_14/param/max_abs': '1.207', 'train/layer__model_layers_14/param/frac_near_dtype_limit': '0', 'train/layer__model_layers_14/param/frac_near_user_limit': '0', 'train/layer_model_layers_0/act/norm': '1.1e+04', 'train/layer_model_layers_0/act/mean': '-0.03693', 'train/layer_model_layers_0/act/std': '0.7439', 'train/layer_model_layers_0/act/max_abs': '15.6', 'train/layer_model_layers_0/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/act/frac_near_user_limit': '0', 'train/layer_model_layers_0/grad/norm': '0.1941', 'train/layer_model_layers_0/grad/mean': '3.247e-08', 'train/layer_model_layers_0/grad/std': '9.191e-05', 'train/layer_model_layers_0/grad/max_abs': '0.005005', 'train/layer_model_layers_0/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/grad/frac_near_user_limit': '0', 'train/layer_model_layers_7/act/norm': '1.316e+04', 'train/layer_model_layers_7/act/mean': '-0.06116', 'train/layer_model_layers_7/act/std': '0.8889', 'train/layer_model_layers_7/act/max_abs': '45.17', 'train/layer_model_layers_7/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/act/frac_near_user_limit': '0', 'train/layer_model_layers_7/grad/norm': '0.1029', 'train/layer_model_layers_7/grad/mean': '3.919e-08', 'train/layer_model_layers_7/grad/std': '4.874e-05', 'train/layer_model_layers_7/grad/max_abs': '0.003815', 'train/layer_model_layers_7/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/grad/frac_near_user_limit': '0', 'train/layer_model_layers_9/act/norm': '1.594e+04', 'train/layer_model_layers_9/act/mean': '-0.04301', 'train/layer_model_layers_9/act/std': '1.079', 'train/layer_model_layers_9/act/max_abs': '43.21', 'train/layer_model_layers_9/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/act/frac_near_user_limit': '0', 'train/layer_model_layers_9/grad/norm': '0.1275', 'train/layer_model_layers_9/grad/mean': '-2.803e-08', 'train/layer_model_layers_9/grad/std': '6.039e-05', 'train/layer_model_layers_9/grad/max_abs': '0.001091', 'train/layer_model_layers_9/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/grad/frac_near_user_limit': '0', 'train/layer_model_layers_8/act/norm': '1.528e+04', 'train/layer_model_layers_8/act/mean': '-0.05503', 'train/layer_model_layers_8/act/std': '1.033', 'train/layer_model_layers_8/act/max_abs': '43.48', 'train/layer_model_layers_8/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/act/frac_near_user_limit': '0', 'train/layer_model_layers_8/grad/norm': '0.1321', 'train/layer_model_layers_8/grad/mean': '-3.506e-08', 'train/layer_model_layers_8/grad/std': '6.254e-05', 'train/layer_model_layers_8/grad/max_abs': '0.001938', 'train/layer_model_layers_8/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/grad/frac_near_user_limit': '0', 'train/layer__model_layers_2/param/norm': '51.66', 'train/layer__model_layers_2/param/mean': '0.000319', 'train/layer__model_layers_2/param/std': '0
603
  {'loss': '2.7', 'grad_norm': '0.6217', 'learning_rate': '0.0003', 'epoch': '0.5797', 'train/total_time_seconds': '2547', 'train/time_per_step_avg': '0.2719', 'train/epoch_time_elapsed': '3421', 'train/estimated_remaining_minutes': '4.199'}
604
  {'loss': '2.695', 'grad_norm': '0.5956', 'learning_rate': '0.0003', 'epoch': '0.5829', 'train/total_time_seconds': '2561', 'train/time_per_step_avg': '0.2673', 'train/epoch_time_elapsed': '3437', 'train/estimated_remaining_minutes': '3.966'}
@@ -609,7 +609,7 @@ Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
609
  {'loss': '2.651', 'grad_norm': '0.6094', 'learning_rate': '0.0003', 'epoch': '0.5989', 'train/total_time_seconds': '2631', 'train/time_per_step_avg': '0.2733', 'train/epoch_time_elapsed': '3520', 'train/estimated_remaining_minutes': '2.799'}
610
  {'loss': '2.692', 'grad_norm': '0.6045', 'learning_rate': '0.0003', 'epoch': '0.602', 'train/total_time_seconds': '2646', 'train/time_per_step_avg': '0.2874', 'train/epoch_time_elapsed': '3536', 'train/estimated_remaining_minutes': '2.566'}
611
  {'loss': '2.683', 'grad_norm': '0.6014', 'learning_rate': '0.0003', 'epoch': '0.6052', 'train/total_time_seconds': '2660', 'train/time_per_step_avg': '0.287', 'train/epoch_time_elapsed': '3553', 'train/estimated_remaining_minutes': '2.333'}
612
-
613
  {'eval_loss': '1.345', 'eval_runtime': '21.67', 'eval_samples_per_second': '466.2', 'eval_steps_per_second': '14.58', 'epoch': '0.6052', 'train/total_time_seconds': '2660', 'train/time_per_step_avg': '0.287', 'train/epoch_time_elapsed': '3575', 'train/estimated_remaining_minutes': '2.333'}
614
  {'loss': '2.677', 'grad_norm': '0.6004', 'learning_rate': '0.0003', 'epoch': '0.6084', 'train/total_time_seconds': '2674', 'train/time_per_step_avg': '0.289', 'train/epoch_time_elapsed': '3592', 'train/estimated_remaining_minutes': '2.1', 'train/global/act/norm': '2.327e+05', 'train/global/act/mean': '-1.419', 'train/global/act/std': '3.128', 'train/global/act/max_abs': '69.09', 'train/global/act/frac_near_dtype_limit': '0', 'train/global/act/frac_near_user_limit': '6.383e-08', 'train/global/grad/norm': '0.581', 'train/global/grad/mean': '-1.039e-08', 'train/global/grad/std': '5.694e-05', 'train/global/grad/max_abs': '0.00936', 'train/global/grad/frac_near_dtype_limit': '0', 'train/global/grad/frac_near_user_limit': '0', 'train/global/param/norm': '313', 'train/global/param/mean': '0.0001595', 'train/global/param/std': '0.04338', 'train/global/param/max_abs': '1.647', 'train/global/param/frac_near_dtype_limit': '0', 'train/global/param/frac_near_user_limit': '0', 'train/layer__model_layers_14/param/norm': '65.82', 'train/layer__model_layers_14/param/mean': '0.000486', 'train/layer__model_layers_14/param/std': '0.04408', 'train/layer__model_layers_14/param/max_abs': '1.209', 'train/layer__model_layers_14/param/frac_near_dtype_limit': '0', 'train/layer__model_layers_14/param/frac_near_user_limit': '0', 'train/layer_model_layers_0/act/norm': '1.109e+04', 'train/layer_model_layers_0/act/mean': '-0.03778', 'train/layer_model_layers_0/act/std': '0.7501', 'train/layer_model_layers_0/act/max_abs': '16.01', 'train/layer_model_layers_0/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/act/frac_near_user_limit': '0', 'train/layer_model_layers_0/grad/norm': '0.1893', 'train/layer_model_layers_0/grad/mean': '-2.826e-08', 'train/layer_model_layers_0/grad/std': '8.963e-05', 'train/layer_model_layers_0/grad/max_abs': '0.003632', 'train/layer_model_layers_0/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/grad/frac_near_user_limit': '0', 'train/layer_model_layers_7/act/norm': '1.327e+04', 'train/layer_model_layers_7/act/mean': '-0.05829', 'train/layer_model_layers_7/act/std': '0.897', 'train/layer_model_layers_7/act/max_abs': '49.6', 'train/layer_model_layers_7/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/act/frac_near_user_limit': '0', 'train/layer_model_layers_7/grad/norm': '0.1001', 'train/layer_model_layers_7/grad/mean': '-2.205e-08', 'train/layer_model_layers_7/grad/std': '4.738e-05', 'train/layer_model_layers_7/grad/max_abs': '0.001945', 'train/layer_model_layers_7/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/grad/frac_near_user_limit': '0', 'train/layer_model_layers_9/act/norm': '1.617e+04', 'train/layer_model_layers_9/act/mean': '-0.04216', 'train/layer_model_layers_9/act/std': '1.094', 'train/layer_model_layers_9/act/max_abs': '47.42', 'train/layer_model_layers_9/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/act/frac_near_user_limit': '0', 'train/layer_model_layers_9/grad/norm': '0.1248', 'train/layer_model_layers_9/grad/mean': '2.862e-08', 'train/layer_model_layers_9/grad/std': '5.911e-05', 'train/layer_model_layers_9/grad/max_abs': '0.0009499', 'train/layer_model_layers_9/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/grad/frac_near_user_limit': '0', 'train/layer_model_layers_8/act/norm': '1.547e+04', 'train/layer_model_layers_8/act/mean': '-0.05338', 'train/layer_model_layers_8/act/std': '1.045', 'train/layer_model_layers_8/act/max_abs': '47.89', 'train/layer_model_layers_8/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/act/frac_near_user_limit': '0', 'train/layer_model_layers_8/grad/norm': '0.1289', 'train/layer_model_layers_8/grad/mean': '-3.31e-09', 'train/layer_model_layers_8/grad/std': '6.107e-05', 'train/layer_model_layers_8/grad/max_abs': '0.001251', 'train/layer_model_layers_8/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/grad/frac_near_user_limit': '0', 'train/layer__model_layers_2/param/norm': '52.24', 'train/layer__model_layers_2/param/mean': '0.0003164', 'train/layer__model_layers_2/param/std': '0.0
615
  {'loss': '2.682', 'grad_norm': '0.6024', 'learning_rate': '0.0003', 'epoch': '0.6116', 'train/total_time_seconds': '2689', 'train/time_per_step_avg': '0.2876', 'train/epoch_time_elapsed': '3609', 'train/estimated_remaining_minutes': '1.867'}
@@ -619,3 +619,55 @@ Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
619
  {'loss': '2.674', 'grad_norm': '0.601', 'learning_rate': '0.0003', 'epoch': '0.6243', 'train/total_time_seconds': '2744', 'train/time_per_step_avg': '0.265', 'train/epoch_time_elapsed': '3674', 'train/estimated_remaining_minutes': '0.9333'}
620
  {'loss': '2.655', 'grad_norm': '0.5971', 'learning_rate': '0.0003', 'epoch': '0.6275', 'train/total_time_seconds': '2758', 'train/time_per_step_avg': '0.2888', 'train/epoch_time_elapsed': '3691', 'train/estimated_remaining_minutes': '0.7001'}
621
  {'loss': '2.678', 'grad_norm': '0.6113', 'learning_rate': '0.0003', 'epoch': '0.6307', 'train/total_time_seconds': '2773', 'train/time_per_step_avg': '0.2886', 'train/epoch_time_elapsed': '3708', 'train/estimated_remaining_minutes': '0.4668'}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
598
  Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:00<00:00, 4.18it/s]
599
  /mnt/data/zainulabideen/zain-exp/notebooks/2/Activation/exp.py:416: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /pytorch/aten/src/ATen/native/ReduceOps.cpp:1831.)
600
  "std": tensor.std().item(),
601
+ 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 10000/10000 [1:02:42<00:00, 2.91it/s][transformers] TinyLlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From πŸ‘‰v4.50πŸ‘ˆ onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
602
  {'loss': '2.691', 'grad_norm': '0.6125', 'learning_rate': '0.0003', 'epoch': '0.5766', 'train/total_time_seconds': '2535', 'train/time_per_step_avg': '0.2939', 'train/epoch_time_elapsed': '3406', 'train/estimated_remaining_minutes': '4.435', 'train/global/act/norm': '2.298e+05', 'train/global/act/mean': '-1.405', 'train/global/act/std': '3.092', 'train/global/act/max_abs': '61.87', 'train/global/act/frac_near_dtype_limit': '0', 'train/global/act/frac_near_user_limit': '4.052e-08', 'train/global/grad/norm': '0.5897', 'train/global/grad/mean': '4.923e-09', 'train/global/grad/std': '5.779e-05', 'train/global/grad/max_abs': '0.008638', 'train/global/grad/frac_near_dtype_limit': '0', 'train/global/grad/frac_near_user_limit': '0', 'train/global/param/norm': '310.2', 'train/global/param/mean': '0.0001399', 'train/global/param/std': '0.043', 'train/global/param/max_abs': '1.638', 'train/global/param/frac_near_dtype_limit': '0', 'train/global/param/frac_near_user_limit': '0', 'train/layer__model_layers_14/param/norm': '65.16', 'train/layer__model_layers_14/param/mean': '0.0004898', 'train/layer__model_layers_14/param/std': '0.04364', 'train/layer__model_layers_14/param/max_abs': '1.207', 'train/layer__model_layers_14/param/frac_near_dtype_limit': '0', 'train/layer__model_layers_14/param/frac_near_user_limit': '0', 'train/layer_model_layers_0/act/norm': '1.1e+04', 'train/layer_model_layers_0/act/mean': '-0.03693', 'train/layer_model_layers_0/act/std': '0.7439', 'train/layer_model_layers_0/act/max_abs': '15.6', 'train/layer_model_layers_0/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/act/frac_near_user_limit': '0', 'train/layer_model_layers_0/grad/norm': '0.1941', 'train/layer_model_layers_0/grad/mean': '3.247e-08', 'train/layer_model_layers_0/grad/std': '9.191e-05', 'train/layer_model_layers_0/grad/max_abs': '0.005005', 'train/layer_model_layers_0/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/grad/frac_near_user_limit': '0', 'train/layer_model_layers_7/act/norm': '1.316e+04', 'train/layer_model_layers_7/act/mean': '-0.06116', 'train/layer_model_layers_7/act/std': '0.8889', 'train/layer_model_layers_7/act/max_abs': '45.17', 'train/layer_model_layers_7/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/act/frac_near_user_limit': '0', 'train/layer_model_layers_7/grad/norm': '0.1029', 'train/layer_model_layers_7/grad/mean': '3.919e-08', 'train/layer_model_layers_7/grad/std': '4.874e-05', 'train/layer_model_layers_7/grad/max_abs': '0.003815', 'train/layer_model_layers_7/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/grad/frac_near_user_limit': '0', 'train/layer_model_layers_9/act/norm': '1.594e+04', 'train/layer_model_layers_9/act/mean': '-0.04301', 'train/layer_model_layers_9/act/std': '1.079', 'train/layer_model_layers_9/act/max_abs': '43.21', 'train/layer_model_layers_9/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/act/frac_near_user_limit': '0', 'train/layer_model_layers_9/grad/norm': '0.1275', 'train/layer_model_layers_9/grad/mean': '-2.803e-08', 'train/layer_model_layers_9/grad/std': '6.039e-05', 'train/layer_model_layers_9/grad/max_abs': '0.001091', 'train/layer_model_layers_9/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/grad/frac_near_user_limit': '0', 'train/layer_model_layers_8/act/norm': '1.528e+04', 'train/layer_model_layers_8/act/mean': '-0.05503', 'train/layer_model_layers_8/act/std': '1.033', 'train/layer_model_layers_8/act/max_abs': '43.48', 'train/layer_model_layers_8/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/act/frac_near_user_limit': '0', 'train/layer_model_layers_8/grad/norm': '0.1321', 'train/layer_model_layers_8/grad/mean': '-3.506e-08', 'train/layer_model_layers_8/grad/std': '6.254e-05', 'train/layer_model_layers_8/grad/max_abs': '0.001938', 'train/layer_model_layers_8/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/grad/frac_near_user_limit': '0', 'train/layer__model_layers_2/param/norm': '51.66', 'train/layer__model_layers_2/param/mean': '0.000319', 'train/layer__model_layers_2/param/std': '0
603
  {'loss': '2.7', 'grad_norm': '0.6217', 'learning_rate': '0.0003', 'epoch': '0.5797', 'train/total_time_seconds': '2547', 'train/time_per_step_avg': '0.2719', 'train/epoch_time_elapsed': '3421', 'train/estimated_remaining_minutes': '4.199'}
604
  {'loss': '2.695', 'grad_norm': '0.5956', 'learning_rate': '0.0003', 'epoch': '0.5829', 'train/total_time_seconds': '2561', 'train/time_per_step_avg': '0.2673', 'train/epoch_time_elapsed': '3437', 'train/estimated_remaining_minutes': '3.966'}
 
609
  {'loss': '2.651', 'grad_norm': '0.6094', 'learning_rate': '0.0003', 'epoch': '0.5989', 'train/total_time_seconds': '2631', 'train/time_per_step_avg': '0.2733', 'train/epoch_time_elapsed': '3520', 'train/estimated_remaining_minutes': '2.799'}
610
  {'loss': '2.692', 'grad_norm': '0.6045', 'learning_rate': '0.0003', 'epoch': '0.602', 'train/total_time_seconds': '2646', 'train/time_per_step_avg': '0.2874', 'train/epoch_time_elapsed': '3536', 'train/estimated_remaining_minutes': '2.566'}
611
  {'loss': '2.683', 'grad_norm': '0.6014', 'learning_rate': '0.0003', 'epoch': '0.6052', 'train/total_time_seconds': '2660', 'train/time_per_step_avg': '0.287', 'train/epoch_time_elapsed': '3553', 'train/estimated_remaining_minutes': '2.333'}
612
+ - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
613
  {'eval_loss': '1.345', 'eval_runtime': '21.67', 'eval_samples_per_second': '466.2', 'eval_steps_per_second': '14.58', 'epoch': '0.6052', 'train/total_time_seconds': '2660', 'train/time_per_step_avg': '0.287', 'train/epoch_time_elapsed': '3575', 'train/estimated_remaining_minutes': '2.333'}
614
  {'loss': '2.677', 'grad_norm': '0.6004', 'learning_rate': '0.0003', 'epoch': '0.6084', 'train/total_time_seconds': '2674', 'train/time_per_step_avg': '0.289', 'train/epoch_time_elapsed': '3592', 'train/estimated_remaining_minutes': '2.1', 'train/global/act/norm': '2.327e+05', 'train/global/act/mean': '-1.419', 'train/global/act/std': '3.128', 'train/global/act/max_abs': '69.09', 'train/global/act/frac_near_dtype_limit': '0', 'train/global/act/frac_near_user_limit': '6.383e-08', 'train/global/grad/norm': '0.581', 'train/global/grad/mean': '-1.039e-08', 'train/global/grad/std': '5.694e-05', 'train/global/grad/max_abs': '0.00936', 'train/global/grad/frac_near_dtype_limit': '0', 'train/global/grad/frac_near_user_limit': '0', 'train/global/param/norm': '313', 'train/global/param/mean': '0.0001595', 'train/global/param/std': '0.04338', 'train/global/param/max_abs': '1.647', 'train/global/param/frac_near_dtype_limit': '0', 'train/global/param/frac_near_user_limit': '0', 'train/layer__model_layers_14/param/norm': '65.82', 'train/layer__model_layers_14/param/mean': '0.000486', 'train/layer__model_layers_14/param/std': '0.04408', 'train/layer__model_layers_14/param/max_abs': '1.209', 'train/layer__model_layers_14/param/frac_near_dtype_limit': '0', 'train/layer__model_layers_14/param/frac_near_user_limit': '0', 'train/layer_model_layers_0/act/norm': '1.109e+04', 'train/layer_model_layers_0/act/mean': '-0.03778', 'train/layer_model_layers_0/act/std': '0.7501', 'train/layer_model_layers_0/act/max_abs': '16.01', 'train/layer_model_layers_0/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/act/frac_near_user_limit': '0', 'train/layer_model_layers_0/grad/norm': '0.1893', 'train/layer_model_layers_0/grad/mean': '-2.826e-08', 'train/layer_model_layers_0/grad/std': '8.963e-05', 'train/layer_model_layers_0/grad/max_abs': '0.003632', 'train/layer_model_layers_0/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_0/grad/frac_near_user_limit': '0', 'train/layer_model_layers_7/act/norm': '1.327e+04', 'train/layer_model_layers_7/act/mean': '-0.05829', 'train/layer_model_layers_7/act/std': '0.897', 'train/layer_model_layers_7/act/max_abs': '49.6', 'train/layer_model_layers_7/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/act/frac_near_user_limit': '0', 'train/layer_model_layers_7/grad/norm': '0.1001', 'train/layer_model_layers_7/grad/mean': '-2.205e-08', 'train/layer_model_layers_7/grad/std': '4.738e-05', 'train/layer_model_layers_7/grad/max_abs': '0.001945', 'train/layer_model_layers_7/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_7/grad/frac_near_user_limit': '0', 'train/layer_model_layers_9/act/norm': '1.617e+04', 'train/layer_model_layers_9/act/mean': '-0.04216', 'train/layer_model_layers_9/act/std': '1.094', 'train/layer_model_layers_9/act/max_abs': '47.42', 'train/layer_model_layers_9/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/act/frac_near_user_limit': '0', 'train/layer_model_layers_9/grad/norm': '0.1248', 'train/layer_model_layers_9/grad/mean': '2.862e-08', 'train/layer_model_layers_9/grad/std': '5.911e-05', 'train/layer_model_layers_9/grad/max_abs': '0.0009499', 'train/layer_model_layers_9/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_9/grad/frac_near_user_limit': '0', 'train/layer_model_layers_8/act/norm': '1.547e+04', 'train/layer_model_layers_8/act/mean': '-0.05338', 'train/layer_model_layers_8/act/std': '1.045', 'train/layer_model_layers_8/act/max_abs': '47.89', 'train/layer_model_layers_8/act/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/act/frac_near_user_limit': '0', 'train/layer_model_layers_8/grad/norm': '0.1289', 'train/layer_model_layers_8/grad/mean': '-3.31e-09', 'train/layer_model_layers_8/grad/std': '6.107e-05', 'train/layer_model_layers_8/grad/max_abs': '0.001251', 'train/layer_model_layers_8/grad/frac_near_dtype_limit': '0', 'train/layer_model_layers_8/grad/frac_near_user_limit': '0', 'train/layer__model_layers_2/param/norm': '52.24', 'train/layer__model_layers_2/param/mean': '0.0003164', 'train/layer__model_layers_2/param/std': '0.0
615
  {'loss': '2.682', 'grad_norm': '0.6024', 'learning_rate': '0.0003', 'epoch': '0.6116', 'train/total_time_seconds': '2689', 'train/time_per_step_avg': '0.2876', 'train/epoch_time_elapsed': '3609', 'train/estimated_remaining_minutes': '1.867'}
 
619
  {'loss': '2.674', 'grad_norm': '0.601', 'learning_rate': '0.0003', 'epoch': '0.6243', 'train/total_time_seconds': '2744', 'train/time_per_step_avg': '0.265', 'train/epoch_time_elapsed': '3674', 'train/estimated_remaining_minutes': '0.9333'}
620
  {'loss': '2.655', 'grad_norm': '0.5971', 'learning_rate': '0.0003', 'epoch': '0.6275', 'train/total_time_seconds': '2758', 'train/time_per_step_avg': '0.2888', 'train/epoch_time_elapsed': '3691', 'train/estimated_remaining_minutes': '0.7001'}
621
  {'loss': '2.678', 'grad_norm': '0.6113', 'learning_rate': '0.0003', 'epoch': '0.6307', 'train/total_time_seconds': '2773', 'train/time_per_step_avg': '0.2886', 'train/epoch_time_elapsed': '3708', 'train/estimated_remaining_minutes': '0.4668'}
622
+ {'loss': '2.669', 'grad_norm': '0.5893', 'learning_rate': '0.0003', 'epoch': '0.6339', 'train/total_time_seconds': '2786', 'train/time_per_step_avg': '0.28', 'train/epoch_time_elapsed': '3724', 'train/estimated_remaining_minutes': '0.2334'}
623
+ {'loss': '2.664', 'grad_norm': '0.6024', 'learning_rate': '0.0003', 'epoch': '0.6371', 'train/total_time_seconds': '2799', 'train/time_per_step_avg': '0.2662', 'train/epoch_time_elapsed': '3739', 'train/estimated_remaining_minutes': '0'}
624
+ {'eval_loss': '1.338', 'eval_runtime': '23.31', 'eval_samples_per_second': '433.4', 'eval_steps_per_second': '13.56', 'epoch': '0.6371', 'train/total_time_seconds': '2799', 'train/time_per_step_avg': '0.2662', 'train/epoch_time_elapsed': '3763', 'train/estimated_remaining_minutes': '0'}
625
+ - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
626
+ - If you are not the owner of the model architecture class, please contact the model code owner to update it.
627
+ Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:00<00:00, 4.40it/s]
628
+ 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 10000/10000 [1:02:43<00:00, 2.66it/s]
629
+ {'train_runtime': '3763', 'train_samples_per_second': '170.1', 'train_steps_per_second': '2.657', 'train_loss': '3.2', 'epoch': '0.6371', 'train/total_time_seconds': '2799', 'train/time_per_step_avg': '0.2662', 'train/epoch_time_elapsed': '3763', 'train/estimated_remaining_minutes': '0'}
630
+ 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 316/316 [00:27<00:00, 11.31it/s]
631
+ [transformers] TinyLlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From πŸ‘‰v4.50πŸ‘ˆ onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
632
+ - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
633
+ - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
634
+ - If you are not the owner of the model architecture class, please contact the model code owner to update it.
635
+ Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:00<00:00, 3.96it/s]
636
+ [transformers] TinyLlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From πŸ‘‰v4.50πŸ‘ˆ onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
637
+ - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
638
+ - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
639
+ - If you are not the owner of the model architecture class, please contact the model code owner to update it.
640
+ Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:00<00:00, 2.75it/s]
641
+ Found 8 files to upload
642
+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
643
+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 1 / 2 files
644
+  Committing β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0 / 8
645
+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
646
+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 1 / 2 files 66.6MB Β· 133MB/s
647
+  Committing β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0 / 8
648
+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
649
+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 1 / 2 files 207MB Β· 176MB/s
650
+  Committing β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0 / 8
651
+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
652
+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 1 / 2 files 208MB Β· 124MB/s
653
+  Committing β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0 / 8
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+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
655
+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 2 / 2 files 208MB Β· 87.1MB/s βœ“
656
+  Committing β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0 / 8
657
+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
658
+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 2 / 2 files 208MB Β· 60.9MB/s βœ“
659
+  Committing β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0 / 8
660
+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
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+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 2 / 2 files 208MB Β· 42.7MB/s βœ“
662
+  Committing β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0 / 8
663
+  Preparing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
664
+  Uploading β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 2 / 2 files 208MB Β· 42.7MB/s βœ“
665
+  Committing β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8 / 8 βœ“
666
+
667
+ ============================================================
668
+ >>> Activation: relu | Out: out/relu_run
669
+ ============================================================
670
+ [transformers] TinyLlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From πŸ‘‰v4.50πŸ‘ˆ onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
671
+ - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
672
+ - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
673
+ - If you are not the owner of the model architecture class, please contact the model code owner to update it.
wandb/run-20260803_185911-6gj59z3n/logs/debug-internal.log CHANGED
@@ -977,3 +977,15 @@
977
  {"time":"2026-08-03T21:03:37.904023512Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
978
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979
  {"time":"2026-08-03T21:03:52.863015286Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
 
 
 
 
 
 
 
 
 
 
 
 
 
977
  {"time":"2026-08-03T21:03:37.904023512Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
978
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979
  {"time":"2026-08-03T21:03:52.863015286Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
980
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981
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982
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983
+ {"time":"2026-08-03T21:04:22.845182521Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
984
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985
+ {"time":"2026-08-03T21:04:37.932705653Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
986
+ {"time":"2026-08-03T21:04:52.617961886Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":1002,"events_lines":2,"console_offset":611,"console_lines":12}
987
+ {"time":"2026-08-03T21:04:52.848518768Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
988
+ {"time":"2026-08-03T21:05:07.618347372Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":441,"history_lines":2,"events_offset":1004,"events_lines":2,"console_offset":600,"console_lines":1}
989
+ {"time":"2026-08-03T21:05:07.911226489Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
990
+ {"time":"2026-08-03T21:05:22.624347304Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":443,"history_lines":1,"events_offset":1006,"events_lines":2,"console_offset":611,"console_lines":1}
991
+ {"time":"2026-08-03T21:05:22.851501949Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
wandb/run-20260803_185911-6gj59z3n/logs/debug.log CHANGED
@@ -24,3 +24,6 @@ config: {'_wandb': {}}
24
  2026-08-03 20:02:10,014 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 32000, 'hidden_size': 512, 'intermediate_size': 768, 'num_hidden_layers': 16, 'num_attention_heads': 8, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, '_name_or_path': '', 'tokenizer_name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'glu_activation': 'gelu', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/gelu_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 10000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 2, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 50, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': None, 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 500, 'eval_delay': 0, 'per_device_eval_batch_size': 32, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 1000, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/tiny-llama-3-gelu', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
25
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 52052480 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14c10d603910>>
26
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 52052480 None
 
 
 
 
24
  2026-08-03 20:02:10,014 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 32000, 'hidden_size': 512, 'intermediate_size': 768, 'num_hidden_layers': 16, 'num_attention_heads': 8, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, '_name_or_path': '', 'tokenizer_name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'glu_activation': 'gelu', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/gelu_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 10000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 2, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 50, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': None, 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 500, 'eval_delay': 0, 'per_device_eval_batch_size': 32, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 1000, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/tiny-llama-3-gelu', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
25
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 52052480 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14c10d603910>>
26
  2026-08-03 20:02:10,016 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 52052480 None
27
+ 2026-08-03 21:05:27,837 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 32000, 'hidden_size': 512, 'intermediate_size': 768, 'num_hidden_layers': 16, 'num_attention_heads': 8, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, '_name_or_path': '', 'tokenizer_name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'glu_activation': 'relu', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/relu_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 10000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 2, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 50, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': None, 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 500, 'eval_delay': 0, 'per_device_eval_batch_size': 32, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 1000, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/tiny-llama-3-relu', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
28
+ 2026-08-03 21:05:27,841 INFO MainThread:2875822 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 52052480 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14c10d603910>>
29
+ 2026-08-03 21:05:27,841 INFO MainThread:2875822 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 52052480 None
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