diff --git a/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/README.md b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d4576fe074287232d3836bf69c21d3f2593290d9 --- /dev/null +++ b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/README.md @@ -0,0 +1,9 @@ +--- +library_name: peft +--- +## Training procedure + +### Framework versions + + +- PEFT 0.4.0 diff --git a/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/adapter_config.json b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2dbc82830c03141f1757ac3cc99367792fe4b0b8 --- /dev/null +++ b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/adapter_config.json @@ -0,0 +1,26 @@ +{ + "auto_mapping": null, + "base_model_name_or_path": "/data/wiedmann/hub/models--lmms-lab--llava-onevision-qwen2-7b-ov/snapshots/0b07bf7565e244cf4f39982249eafe8cd799d6dd", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layers_pattern": null, + "layers_to_transform": null, + "lora_alpha": 256, + "lora_dropout": 0.05, + "modules_to_save": null, + "peft_type": "LORA", + "r": 128, + "revision": null, + "target_modules": [ + "o_proj", + "q_proj", + "up_proj", + "gate_proj", + "k_proj", + "v_proj", + "down_proj" + ], + "task_type": "CAUSAL_LM" +} \ No newline at end of file diff --git a/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/adapter_model.bin b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/adapter_model.bin new file mode 100644 index 0000000000000000000000000000000000000000..e2fb386c6c0b052641a0143a4941ff341b646cd1 --- /dev/null +++ b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/adapter_model.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b714e05bef837c53d7713a34bd54c02b4bdb2dc6867154d7fa4aa88bce735902 +size 692127130 diff --git a/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/config.json b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/config.json new file mode 100644 index 0000000000000000000000000000000000000000..a48d68518cce4598c62f52102a6c0a9e1adc9faa --- /dev/null +++ b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/config.json @@ -0,0 +1,68 @@ +{ + "_name_or_path": "/data/wiedmann/hub/models--lmms-lab--llava-onevision-qwen2-7b-ov/snapshots/0b07bf7565e244cf4f39982249eafe8cd799d6dd", + "add_faster_video": false, + "add_time_instruction": false, + "architectures": [ + "LlavaQwenForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "eos_token_id": 151645, + "faster_token_stride": 10, + "force_sample": false, + "hidden_act": "silu", + "hidden_size": 3584, + "image_aspect_ratio": "square", + "image_crop_resolution": null, + "image_grid_pinpoints": null, + "image_split_resolution": null, + "image_token_index": 151646, + "initializer_range": 0.02, + "intermediate_size": 18944, + "max_position_embeddings": 32768, + "max_window_layers": 28, + "mm_hidden_size": 1152, + "mm_newline_position": "no_token", + "mm_patch_merge_type": "spatial_unpad", + "mm_projector_lr": null, + "mm_projector_type": "mlp2x_gelu", + "mm_resampler_type": "streaming_agg", + "mm_spatial_pool_mode": "bilinear", + "mm_spatial_pool_stride": null, + "mm_streaming_frames_per_chunk": 4, + "mm_streaming_input_dim": 1152, + "mm_streaming_mlp_ratio": 4.0, + "mm_streaming_num_heads": 8, + "mm_streaming_num_layers": 4, + "mm_streaming_num_state_tokens": 2048, + "mm_streaming_patches_per_frame": 729, + "mm_streaming_state_dim": 1152, + "mm_streaming_vision_chunk_size": 8, + "mm_tunable_parts": "mm_mlp_adapter,mm_vision_resampler", + "mm_use_im_patch_token": false, + "mm_use_im_start_end": false, + "mm_vision_select_feature": "patch", + "mm_vision_select_layer": -2, + "mm_vision_tower": "google/siglip-so400m-patch14-384", + "mm_vision_tower_lr": null, + "model_type": "llava_qwen", + "num_attention_heads": 28, + "num_hidden_layers": 28, + "num_key_value_heads": 4, + "pos_skipping_range": 4096, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000.0, + "sliding_window": 131072, + "tie_word_embeddings": false, + "tokenizer_model_max_length": 8192, + "tokenizer_padding_side": "right", + "torch_dtype": "bfloat16", + "transformers_version": "4.40.0.dev0", + "use_cache": true, + "use_mm_proj": true, + "use_pos_skipping": false, + "use_sliding_window": false, + "vision_tower_pretrained": null, + "vocab_size": 152064 +} diff --git a/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/generation_config.json b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..19a297221acb87418d4388a3decef2282c6d7316 --- /dev/null +++ b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/generation_config.json @@ -0,0 +1,14 @@ +{ + "bos_token_id": 151643, + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "repetition_penalty": 1.05, + "temperature": 0.7, + "top_k": 20, + "top_p": 0.8, + "transformers_version": "4.40.0.dev0" +} diff --git a/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/non_lora_trainables.bin b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/non_lora_trainables.bin new file mode 100644 index 0000000000000000000000000000000000000000..12e52dee281380ea258794f08d52063b12ab90cc --- /dev/null +++ b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/non_lora_trainables.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:718d2cfa2c338b8ddd887997515ab051bcfe3edac6b659caccfb936b0e00504f +size 211441788 diff --git a/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/trainer_state.json b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..1a6d2e0804929d01aa8759d36a82bae11f188ac7 --- /dev/null +++ b/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-nextqa_shuffled-streaming_baseline_tmppos_lora_agg_fc4_s2048/trainer_state.json @@ -0,0 +1,7495 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9996446760630108, + "eval_steps": 100, + "global_step": 1055, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 30.804296493530273, + "learning_rate": 3.125e-06, + "loss": 1.2065, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 23.284700393676758, + "learning_rate": 6.25e-06, + "loss": 1.0983, + "step": 2 + }, + { + "epoch": 0.0, + "grad_norm": 27.227680206298828, + "learning_rate": 9.375000000000001e-06, + "loss": 1.1279, + "step": 3 + }, + { + "epoch": 0.0, + "grad_norm": 11.16970443725586, + "learning_rate": 1.25e-05, + "loss": 1.0219, + "step": 4 + }, + { + "epoch": 0.0, + "grad_norm": 8.86640453338623, + "learning_rate": 1.5625e-05, + "loss": 0.7726, + "step": 5 + }, + { + "epoch": 0.01, + "grad_norm": 3.84248685836792, + "learning_rate": 1.8750000000000002e-05, + "loss": 0.6763, + "step": 6 + }, + { + "epoch": 0.01, + "grad_norm": 2.7346138954162598, + "learning_rate": 2.1875e-05, + "loss": 0.5752, + "step": 7 + }, + { + "epoch": 0.01, + "grad_norm": 1.9248408079147339, + "learning_rate": 2.5e-05, + "loss": 0.4705, + "step": 8 + }, + { + "epoch": 0.01, + "grad_norm": 1.0167689323425293, + "learning_rate": 2.8125000000000003e-05, + "loss": 0.3754, + "step": 9 + }, + { + "epoch": 0.01, + "grad_norm": 0.8291449546813965, + "learning_rate": 3.125e-05, + "loss": 0.3479, + "step": 10 + }, + { + "epoch": 0.01, + "grad_norm": 0.909376859664917, + "learning_rate": 3.4375e-05, + "loss": 0.3093, + "step": 11 + }, + { + "epoch": 0.01, + "grad_norm": 0.6860577464103699, + "learning_rate": 3.7500000000000003e-05, + "loss": 0.2743, + "step": 12 + }, + { + "epoch": 0.01, + "grad_norm": 0.7518047094345093, + "learning_rate": 4.0625000000000005e-05, + "loss": 0.3408, + "step": 13 + }, + { + "epoch": 0.01, + "grad_norm": 0.7100327014923096, + "learning_rate": 4.375e-05, + "loss": 0.3462, + "step": 14 + }, + { + "epoch": 0.01, + "grad_norm": 0.8330450654029846, + "learning_rate": 4.6875e-05, + "loss": 0.5261, + "step": 15 + }, + { + "epoch": 0.02, + "grad_norm": 0.6445046067237854, + "learning_rate": 5e-05, + "loss": 0.3798, + "step": 16 + }, + { + "epoch": 0.02, + "grad_norm": 0.773724377155304, + "learning_rate": 5.3125000000000004e-05, + "loss": 0.4469, + "step": 17 + }, + { + "epoch": 0.02, + "grad_norm": 0.6619732975959778, + "learning_rate": 5.6250000000000005e-05, + "loss": 0.2812, + "step": 18 + }, + { + "epoch": 0.02, + "grad_norm": 0.5613172054290771, + "learning_rate": 5.9375e-05, + "loss": 0.3588, + "step": 19 + }, + { + "epoch": 0.02, + "grad_norm": 0.5960156917572021, + "learning_rate": 6.25e-05, + "loss": 0.2513, + "step": 20 + }, + { + "epoch": 0.02, + "grad_norm": 0.585588812828064, + "learning_rate": 6.562500000000001e-05, + "loss": 0.3698, + "step": 21 + }, + { + "epoch": 0.02, + "grad_norm": 0.5156756043434143, + "learning_rate": 6.875e-05, + "loss": 0.175, + "step": 22 + }, + { + "epoch": 0.02, + "grad_norm": 0.49335452914237976, + "learning_rate": 7.1875e-05, + "loss": 0.299, + "step": 23 + }, + { + "epoch": 0.02, + "grad_norm": 0.7429764270782471, + "learning_rate": 7.500000000000001e-05, + "loss": 0.4715, + "step": 24 + }, + { + "epoch": 0.02, + "grad_norm": 0.5946854948997498, + "learning_rate": 7.8125e-05, + "loss": 0.2294, + "step": 25 + }, + { + "epoch": 0.02, + "grad_norm": 0.6120976209640503, + "learning_rate": 8.125000000000001e-05, + "loss": 0.3846, + "step": 26 + }, + { + "epoch": 0.03, + "grad_norm": 0.6154862642288208, + "learning_rate": 8.4375e-05, + "loss": 0.365, + "step": 27 + }, + { + "epoch": 0.03, + "grad_norm": 0.5157431364059448, + "learning_rate": 8.75e-05, + "loss": 0.3275, + "step": 28 + }, + { + "epoch": 0.03, + "grad_norm": 0.5386487245559692, + "learning_rate": 9.062500000000001e-05, + "loss": 0.3336, + "step": 29 + }, + { + "epoch": 0.03, + "grad_norm": 0.526266872882843, + "learning_rate": 9.375e-05, + "loss": 0.2939, + "step": 30 + }, + { + "epoch": 0.03, + "grad_norm": 0.5345079302787781, + "learning_rate": 9.687500000000001e-05, + "loss": 0.3086, + "step": 31 + }, + { + "epoch": 0.03, + "grad_norm": 0.6255465745925903, + "learning_rate": 0.0001, + "loss": 0.332, + "step": 32 + }, + { + "epoch": 0.03, + "grad_norm": 0.6006800532341003, + "learning_rate": 9.999976423021617e-05, + "loss": 0.3782, + "step": 33 + }, + { + "epoch": 0.03, + "grad_norm": 0.5360583066940308, + "learning_rate": 9.999905692308813e-05, + "loss": 0.3754, + "step": 34 + }, + { + "epoch": 0.03, + "grad_norm": 0.6360620260238647, + "learning_rate": 9.999787808528638e-05, + "loss": 0.4859, + "step": 35 + }, + { + "epoch": 0.03, + "grad_norm": 0.44070759415626526, + "learning_rate": 9.999622772792828e-05, + "loss": 0.2861, + "step": 36 + }, + { + "epoch": 0.04, + "grad_norm": 0.45899343490600586, + "learning_rate": 9.9994105866578e-05, + "loss": 0.3691, + "step": 37 + }, + { + "epoch": 0.04, + "grad_norm": 0.5495193004608154, + "learning_rate": 9.999151252124639e-05, + "loss": 0.37, + "step": 38 + }, + { + "epoch": 0.04, + "grad_norm": 0.452613890171051, + "learning_rate": 9.998844771639073e-05, + "loss": 0.2928, + "step": 39 + }, + { + "epoch": 0.04, + "grad_norm": 0.3938613831996918, + "learning_rate": 9.998491148091457e-05, + "loss": 0.3118, + "step": 40 + }, + { + "epoch": 0.04, + "grad_norm": 0.5872858166694641, + "learning_rate": 9.99809038481674e-05, + "loss": 0.4285, + "step": 41 + }, + { + "epoch": 0.04, + "grad_norm": 0.4832764267921448, + "learning_rate": 9.997642485594436e-05, + "loss": 0.3354, + "step": 42 + }, + { + "epoch": 0.04, + "grad_norm": 0.43297770619392395, + "learning_rate": 9.99714745464859e-05, + "loss": 0.3512, + "step": 43 + }, + { + "epoch": 0.04, + "grad_norm": 0.454502671957016, + "learning_rate": 9.996605296647737e-05, + "loss": 0.2908, + "step": 44 + }, + { + "epoch": 0.04, + "grad_norm": 0.529533863067627, + "learning_rate": 9.996016016704854e-05, + "loss": 0.5052, + "step": 45 + }, + { + "epoch": 0.04, + "grad_norm": 0.41448667645454407, + "learning_rate": 9.995379620377318e-05, + "loss": 0.2739, + "step": 46 + }, + { + "epoch": 0.04, + "grad_norm": 0.38955628871917725, + "learning_rate": 9.99469611366685e-05, + "loss": 0.2549, + "step": 47 + }, + { + "epoch": 0.05, + "grad_norm": 0.45690223574638367, + "learning_rate": 9.993965503019457e-05, + "loss": 0.4029, + "step": 48 + }, + { + "epoch": 0.05, + "grad_norm": 0.41869643330574036, + "learning_rate": 9.99318779532538e-05, + "loss": 0.3377, + "step": 49 + }, + { + "epoch": 0.05, + "grad_norm": 0.47526320815086365, + "learning_rate": 9.992362997919016e-05, + "loss": 0.3284, + "step": 50 + }, + { + "epoch": 0.05, + "grad_norm": 0.4810812473297119, + "learning_rate": 9.991491118578856e-05, + "loss": 0.3745, + "step": 51 + }, + { + "epoch": 0.05, + "grad_norm": 0.4266604781150818, + "learning_rate": 9.990572165527413e-05, + "loss": 0.3366, + "step": 52 + }, + { + "epoch": 0.05, + "grad_norm": 0.5009778141975403, + "learning_rate": 9.98960614743114e-05, + "loss": 0.4346, + "step": 53 + }, + { + "epoch": 0.05, + "grad_norm": 0.5063421726226807, + "learning_rate": 9.988593073400354e-05, + "loss": 0.4424, + "step": 54 + }, + { + "epoch": 0.05, + "grad_norm": 0.4510231018066406, + "learning_rate": 9.987532952989145e-05, + "loss": 0.3745, + "step": 55 + }, + { + "epoch": 0.05, + "grad_norm": 0.4165729582309723, + "learning_rate": 9.986425796195287e-05, + "loss": 0.2746, + "step": 56 + }, + { + "epoch": 0.05, + "grad_norm": 0.4778216779232025, + "learning_rate": 9.985271613460144e-05, + "loss": 0.4199, + "step": 57 + }, + { + "epoch": 0.05, + "grad_norm": 0.38626334071159363, + "learning_rate": 9.984070415668574e-05, + "loss": 0.2438, + "step": 58 + }, + { + "epoch": 0.06, + "grad_norm": 0.48320698738098145, + "learning_rate": 9.982822214148821e-05, + "loss": 0.4163, + "step": 59 + }, + { + "epoch": 0.06, + "grad_norm": 0.43068376183509827, + "learning_rate": 9.981527020672413e-05, + "loss": 0.3129, + "step": 60 + }, + { + "epoch": 0.06, + "grad_norm": 0.47523853182792664, + "learning_rate": 9.980184847454052e-05, + "loss": 0.3959, + "step": 61 + }, + { + "epoch": 0.06, + "grad_norm": 0.43448108434677124, + "learning_rate": 9.978795707151492e-05, + "loss": 0.3093, + "step": 62 + }, + { + "epoch": 0.06, + "grad_norm": 0.40242329239845276, + "learning_rate": 9.977359612865423e-05, + "loss": 0.3048, + "step": 63 + }, + { + "epoch": 0.06, + "grad_norm": 0.44845131039619446, + "learning_rate": 9.975876578139355e-05, + "loss": 0.3456, + "step": 64 + }, + { + "epoch": 0.06, + "grad_norm": 0.4786364436149597, + "learning_rate": 9.974346616959476e-05, + "loss": 0.4488, + "step": 65 + }, + { + "epoch": 0.06, + "grad_norm": 0.4046257734298706, + "learning_rate": 9.972769743754531e-05, + "loss": 0.2914, + "step": 66 + }, + { + "epoch": 0.06, + "grad_norm": 0.3762134909629822, + "learning_rate": 9.971145973395684e-05, + "loss": 0.2452, + "step": 67 + }, + { + "epoch": 0.06, + "grad_norm": 0.3934119641780853, + "learning_rate": 9.969475321196373e-05, + "loss": 0.2175, + "step": 68 + }, + { + "epoch": 0.07, + "grad_norm": 0.428158164024353, + "learning_rate": 9.96775780291217e-05, + "loss": 0.3011, + "step": 69 + }, + { + "epoch": 0.07, + "grad_norm": 0.4342409074306488, + "learning_rate": 9.965993434740633e-05, + "loss": 0.2891, + "step": 70 + }, + { + "epoch": 0.07, + "grad_norm": 0.5298842787742615, + "learning_rate": 9.96418223332115e-05, + "loss": 0.3521, + "step": 71 + }, + { + "epoch": 0.07, + "grad_norm": 0.42322099208831787, + "learning_rate": 9.962324215734782e-05, + "loss": 0.2079, + "step": 72 + }, + { + "epoch": 0.07, + "grad_norm": 0.5400073528289795, + "learning_rate": 9.960419399504106e-05, + "loss": 0.3937, + "step": 73 + }, + { + "epoch": 0.07, + "grad_norm": 0.4282865822315216, + "learning_rate": 9.958467802593046e-05, + "loss": 0.2715, + "step": 74 + }, + { + "epoch": 0.07, + "grad_norm": 0.4480207860469818, + "learning_rate": 9.956469443406706e-05, + "loss": 0.3131, + "step": 75 + }, + { + "epoch": 0.07, + "grad_norm": 0.3894388973712921, + "learning_rate": 9.954424340791196e-05, + "loss": 0.2954, + "step": 76 + }, + { + "epoch": 0.07, + "grad_norm": 0.49804937839508057, + "learning_rate": 9.952332514033447e-05, + "loss": 0.351, + "step": 77 + }, + { + "epoch": 0.07, + "grad_norm": 0.41495615243911743, + "learning_rate": 9.950193982861047e-05, + "loss": 0.3886, + "step": 78 + }, + { + "epoch": 0.07, + "grad_norm": 0.4607909619808197, + "learning_rate": 9.948008767442034e-05, + "loss": 0.3415, + "step": 79 + }, + { + "epoch": 0.08, + "grad_norm": 0.3959217965602875, + "learning_rate": 9.94577688838472e-05, + "loss": 0.2881, + "step": 80 + }, + { + "epoch": 0.08, + "grad_norm": 0.41608935594558716, + "learning_rate": 9.943498366737487e-05, + "loss": 0.3601, + "step": 81 + }, + { + "epoch": 0.08, + "grad_norm": 0.4240490794181824, + "learning_rate": 9.941173223988602e-05, + "loss": 0.3083, + "step": 82 + }, + { + "epoch": 0.08, + "grad_norm": 0.4540845453739166, + "learning_rate": 9.938801482065998e-05, + "loss": 0.3354, + "step": 83 + }, + { + "epoch": 0.08, + "grad_norm": 0.4498790502548218, + "learning_rate": 9.93638316333708e-05, + "loss": 0.3859, + "step": 84 + }, + { + "epoch": 0.08, + "grad_norm": 0.42697852849960327, + "learning_rate": 9.933918290608509e-05, + "loss": 0.323, + "step": 85 + }, + { + "epoch": 0.08, + "grad_norm": 0.43311402201652527, + "learning_rate": 9.93140688712598e-05, + "loss": 0.345, + "step": 86 + }, + { + "epoch": 0.08, + "grad_norm": 0.4836309850215912, + "learning_rate": 9.928848976574019e-05, + "loss": 0.4193, + "step": 87 + }, + { + "epoch": 0.08, + "grad_norm": 0.400007963180542, + "learning_rate": 9.926244583075748e-05, + "loss": 0.3276, + "step": 88 + }, + { + "epoch": 0.08, + "grad_norm": 0.4656391441822052, + "learning_rate": 9.923593731192655e-05, + "loss": 0.3709, + "step": 89 + }, + { + "epoch": 0.09, + "grad_norm": 0.3918564021587372, + "learning_rate": 9.920896445924373e-05, + "loss": 0.2899, + "step": 90 + }, + { + "epoch": 0.09, + "grad_norm": 0.37206435203552246, + "learning_rate": 9.918152752708438e-05, + "loss": 0.1981, + "step": 91 + }, + { + "epoch": 0.09, + "grad_norm": 0.4430893659591675, + "learning_rate": 9.915362677420044e-05, + "loss": 0.3654, + "step": 92 + }, + { + "epoch": 0.09, + "grad_norm": 0.44486117362976074, + "learning_rate": 9.912526246371814e-05, + "loss": 0.4276, + "step": 93 + }, + { + "epoch": 0.09, + "grad_norm": 0.47260475158691406, + "learning_rate": 9.909643486313533e-05, + "loss": 0.3608, + "step": 94 + }, + { + "epoch": 0.09, + "grad_norm": 0.4907275438308716, + "learning_rate": 9.906714424431913e-05, + "loss": 0.3866, + "step": 95 + }, + { + "epoch": 0.09, + "grad_norm": 0.46724241971969604, + "learning_rate": 9.903739088350325e-05, + "loss": 0.2709, + "step": 96 + }, + { + "epoch": 0.09, + "grad_norm": 0.47604647278785706, + "learning_rate": 9.900717506128541e-05, + "loss": 0.3038, + "step": 97 + }, + { + "epoch": 0.09, + "grad_norm": 0.4240775406360626, + "learning_rate": 9.897649706262473e-05, + "loss": 0.3064, + "step": 98 + }, + { + "epoch": 0.09, + "grad_norm": 0.5179862380027771, + "learning_rate": 9.894535717683902e-05, + "loss": 0.3739, + "step": 99 + }, + { + "epoch": 0.09, + "grad_norm": 0.4301639795303345, + "learning_rate": 9.891375569760204e-05, + "loss": 0.342, + "step": 100 + }, + { + "epoch": 0.09, + "eval_loss": 0.3124053478240967, + "eval_runtime": 371.4195, + "eval_samples_per_second": 0.918, + "eval_steps_per_second": 0.232, + "step": 100 + }, + { + "epoch": 0.1, + "grad_norm": 0.46046969294548035, + "learning_rate": 9.888169292294076e-05, + "loss": 0.2961, + "step": 101 + }, + { + "epoch": 0.1, + "grad_norm": 0.45049476623535156, + "learning_rate": 9.884916915523251e-05, + "loss": 0.2909, + "step": 102 + }, + { + "epoch": 0.1, + "grad_norm": 0.521728515625, + "learning_rate": 9.881618470120215e-05, + "loss": 0.3543, + "step": 103 + }, + { + "epoch": 0.1, + "grad_norm": 0.47198793292045593, + "learning_rate": 9.87827398719192e-05, + "loss": 0.3814, + "step": 104 + }, + { + "epoch": 0.1, + "grad_norm": 0.46089521050453186, + "learning_rate": 9.874883498279484e-05, + "loss": 0.2694, + "step": 105 + }, + { + "epoch": 0.1, + "grad_norm": 0.4399769902229309, + "learning_rate": 9.871447035357903e-05, + "loss": 0.3216, + "step": 106 + }, + { + "epoch": 0.1, + "grad_norm": 0.4072099030017853, + "learning_rate": 9.867964630835743e-05, + "loss": 0.2752, + "step": 107 + }, + { + "epoch": 0.1, + "grad_norm": 0.3770722448825836, + "learning_rate": 9.864436317554831e-05, + "loss": 0.2752, + "step": 108 + }, + { + "epoch": 0.1, + "grad_norm": 0.4324779808521271, + "learning_rate": 9.860862128789953e-05, + "loss": 0.285, + "step": 109 + }, + { + "epoch": 0.1, + "grad_norm": 0.4228529632091522, + "learning_rate": 9.857242098248542e-05, + "loss": 0.2292, + "step": 110 + }, + { + "epoch": 0.11, + "grad_norm": 0.43217021226882935, + "learning_rate": 9.853576260070347e-05, + "loss": 0.3298, + "step": 111 + }, + { + "epoch": 0.11, + "grad_norm": 0.39829280972480774, + "learning_rate": 9.849864648827125e-05, + "loss": 0.2835, + "step": 112 + }, + { + "epoch": 0.11, + "grad_norm": 0.46612149477005005, + "learning_rate": 9.846107299522304e-05, + "loss": 0.3774, + "step": 113 + }, + { + "epoch": 0.11, + "grad_norm": 0.5025432109832764, + "learning_rate": 9.842304247590667e-05, + "loss": 0.4244, + "step": 114 + }, + { + "epoch": 0.11, + "grad_norm": 0.407463401556015, + "learning_rate": 9.838455528897998e-05, + "loss": 0.2726, + "step": 115 + }, + { + "epoch": 0.11, + "grad_norm": 0.44039663672447205, + "learning_rate": 9.834561179740762e-05, + "loss": 0.2931, + "step": 116 + }, + { + "epoch": 0.11, + "grad_norm": 0.4455850124359131, + "learning_rate": 9.830621236845754e-05, + "loss": 0.3054, + "step": 117 + }, + { + "epoch": 0.11, + "grad_norm": 0.4223516881465912, + "learning_rate": 9.826635737369751e-05, + "loss": 0.3173, + "step": 118 + }, + { + "epoch": 0.11, + "grad_norm": 0.43214577436447144, + "learning_rate": 9.82260471889917e-05, + "loss": 0.2673, + "step": 119 + }, + { + "epoch": 0.11, + "grad_norm": 0.4163484573364258, + "learning_rate": 9.818528219449705e-05, + "loss": 0.2587, + "step": 120 + }, + { + "epoch": 0.11, + "grad_norm": 0.39266541600227356, + "learning_rate": 9.814406277465968e-05, + "loss": 0.2547, + "step": 121 + }, + { + "epoch": 0.12, + "grad_norm": 0.45521286129951477, + "learning_rate": 9.810238931821138e-05, + "loss": 0.3337, + "step": 122 + }, + { + "epoch": 0.12, + "grad_norm": 0.4831443727016449, + "learning_rate": 9.806026221816581e-05, + "loss": 0.4037, + "step": 123 + }, + { + "epoch": 0.12, + "grad_norm": 0.42679184675216675, + "learning_rate": 9.801768187181486e-05, + "loss": 0.3684, + "step": 124 + }, + { + "epoch": 0.12, + "grad_norm": 0.4037214517593384, + "learning_rate": 9.797464868072488e-05, + "loss": 0.2681, + "step": 125 + }, + { + "epoch": 0.12, + "grad_norm": 0.444090336561203, + "learning_rate": 9.793116305073292e-05, + "loss": 0.3424, + "step": 126 + }, + { + "epoch": 0.12, + "grad_norm": 0.45706042647361755, + "learning_rate": 9.788722539194291e-05, + "loss": 0.3811, + "step": 127 + }, + { + "epoch": 0.12, + "grad_norm": 0.4240741431713104, + "learning_rate": 9.784283611872169e-05, + "loss": 0.2971, + "step": 128 + }, + { + "epoch": 0.12, + "grad_norm": 0.4279850721359253, + "learning_rate": 9.77979956496953e-05, + "loss": 0.35, + "step": 129 + }, + { + "epoch": 0.12, + "grad_norm": 0.49542683362960815, + "learning_rate": 9.77527044077448e-05, + "loss": 0.4575, + "step": 130 + }, + { + "epoch": 0.12, + "grad_norm": 0.4722813069820404, + "learning_rate": 9.770696282000244e-05, + "loss": 0.3603, + "step": 131 + }, + { + "epoch": 0.13, + "grad_norm": 0.4850144386291504, + "learning_rate": 9.766077131784763e-05, + "loss": 0.4054, + "step": 132 + }, + { + "epoch": 0.13, + "grad_norm": 0.41566139459609985, + "learning_rate": 9.761413033690276e-05, + "loss": 0.3093, + "step": 133 + }, + { + "epoch": 0.13, + "grad_norm": 0.4394778907299042, + "learning_rate": 9.756704031702918e-05, + "loss": 0.3784, + "step": 134 + }, + { + "epoch": 0.13, + "grad_norm": 0.40402501821517944, + "learning_rate": 9.751950170232309e-05, + "loss": 0.2863, + "step": 135 + }, + { + "epoch": 0.13, + "grad_norm": 0.4203854203224182, + "learning_rate": 9.74715149411112e-05, + "loss": 0.3284, + "step": 136 + }, + { + "epoch": 0.13, + "grad_norm": 0.45846274495124817, + "learning_rate": 9.742308048594665e-05, + "loss": 0.3771, + "step": 137 + }, + { + "epoch": 0.13, + "grad_norm": 0.2881685793399811, + "learning_rate": 9.73741987936047e-05, + "loss": 0.1712, + "step": 138 + }, + { + "epoch": 0.13, + "grad_norm": 0.35943669080734253, + "learning_rate": 9.732487032507837e-05, + "loss": 0.2327, + "step": 139 + }, + { + "epoch": 0.13, + "grad_norm": 0.48380306363105774, + "learning_rate": 9.727509554557417e-05, + "loss": 0.3955, + "step": 140 + }, + { + "epoch": 0.13, + "grad_norm": 0.40915006399154663, + "learning_rate": 9.722487492450764e-05, + "loss": 0.2794, + "step": 141 + }, + { + "epoch": 0.13, + "grad_norm": 0.46555307507514954, + "learning_rate": 9.717420893549902e-05, + "loss": 0.3706, + "step": 142 + }, + { + "epoch": 0.14, + "grad_norm": 0.48473846912384033, + "learning_rate": 9.712309805636863e-05, + "loss": 0.3105, + "step": 143 + }, + { + "epoch": 0.14, + "grad_norm": 0.49143391847610474, + "learning_rate": 9.707154276913256e-05, + "loss": 0.3829, + "step": 144 + }, + { + "epoch": 0.14, + "grad_norm": 0.477644145488739, + "learning_rate": 9.701954355999792e-05, + "loss": 0.3629, + "step": 145 + }, + { + "epoch": 0.14, + "grad_norm": 0.49221259355545044, + "learning_rate": 9.696710091935841e-05, + "loss": 0.3374, + "step": 146 + }, + { + "epoch": 0.14, + "grad_norm": 0.3983844816684723, + "learning_rate": 9.691421534178966e-05, + "loss": 0.2839, + "step": 147 + }, + { + "epoch": 0.14, + "grad_norm": 0.4182831645011902, + "learning_rate": 9.686088732604449e-05, + "loss": 0.305, + "step": 148 + }, + { + "epoch": 0.14, + "grad_norm": 0.343465119600296, + "learning_rate": 9.68071173750483e-05, + "loss": 0.2242, + "step": 149 + }, + { + "epoch": 0.14, + "grad_norm": 0.4513535499572754, + "learning_rate": 9.675290599589429e-05, + "loss": 0.3739, + "step": 150 + }, + { + "epoch": 0.14, + "grad_norm": 0.4577466547489166, + "learning_rate": 9.669825369983865e-05, + "loss": 0.2852, + "step": 151 + }, + { + "epoch": 0.14, + "grad_norm": 0.41453319787979126, + "learning_rate": 9.664316100229578e-05, + "loss": 0.3369, + "step": 152 + }, + { + "epoch": 0.14, + "grad_norm": 0.4898837208747864, + "learning_rate": 9.658762842283343e-05, + "loss": 0.3611, + "step": 153 + }, + { + "epoch": 0.15, + "grad_norm": 0.35460522770881653, + "learning_rate": 9.653165648516776e-05, + "loss": 0.2565, + "step": 154 + }, + { + "epoch": 0.15, + "grad_norm": 0.519338071346283, + "learning_rate": 9.647524571715843e-05, + "loss": 0.3722, + "step": 155 + }, + { + "epoch": 0.15, + "grad_norm": 0.39072704315185547, + "learning_rate": 9.641839665080363e-05, + "loss": 0.3016, + "step": 156 + }, + { + "epoch": 0.15, + "grad_norm": 0.40939077734947205, + "learning_rate": 9.636110982223505e-05, + "loss": 0.2837, + "step": 157 + }, + { + "epoch": 0.15, + "grad_norm": 0.41712358593940735, + "learning_rate": 9.630338577171282e-05, + "loss": 0.3159, + "step": 158 + }, + { + "epoch": 0.15, + "grad_norm": 0.3813435435295105, + "learning_rate": 9.624522504362039e-05, + "loss": 0.2956, + "step": 159 + }, + { + "epoch": 0.15, + "grad_norm": 0.4338795840740204, + "learning_rate": 9.618662818645948e-05, + "loss": 0.3289, + "step": 160 + }, + { + "epoch": 0.15, + "grad_norm": 0.3376855254173279, + "learning_rate": 9.612759575284483e-05, + "loss": 0.2108, + "step": 161 + }, + { + "epoch": 0.15, + "grad_norm": 0.47196638584136963, + "learning_rate": 9.606812829949896e-05, + "loss": 0.3092, + "step": 162 + }, + { + "epoch": 0.15, + "grad_norm": 0.4025622010231018, + "learning_rate": 9.600822638724705e-05, + "loss": 0.2853, + "step": 163 + }, + { + "epoch": 0.16, + "grad_norm": 0.39661628007888794, + "learning_rate": 9.594789058101153e-05, + "loss": 0.2593, + "step": 164 + }, + { + "epoch": 0.16, + "grad_norm": 0.4002563953399658, + "learning_rate": 9.588712144980681e-05, + "loss": 0.3207, + "step": 165 + }, + { + "epoch": 0.16, + "grad_norm": 0.44630905985832214, + "learning_rate": 9.582591956673387e-05, + "loss": 0.3185, + "step": 166 + }, + { + "epoch": 0.16, + "grad_norm": 0.4276568293571472, + "learning_rate": 9.576428550897489e-05, + "loss": 0.2568, + "step": 167 + }, + { + "epoch": 0.16, + "grad_norm": 0.46223482489585876, + "learning_rate": 9.570221985778785e-05, + "loss": 0.3475, + "step": 168 + }, + { + "epoch": 0.16, + "grad_norm": 0.42892640829086304, + "learning_rate": 9.563972319850092e-05, + "loss": 0.3124, + "step": 169 + }, + { + "epoch": 0.16, + "grad_norm": 0.29332005977630615, + "learning_rate": 9.557679612050708e-05, + "loss": 0.2059, + "step": 170 + }, + { + "epoch": 0.16, + "grad_norm": 0.42561015486717224, + "learning_rate": 9.551343921725843e-05, + "loss": 0.3656, + "step": 171 + }, + { + "epoch": 0.16, + "grad_norm": 0.5277482271194458, + "learning_rate": 9.544965308626074e-05, + "loss": 0.4538, + "step": 172 + }, + { + "epoch": 0.16, + "grad_norm": 0.35639628767967224, + "learning_rate": 9.538543832906773e-05, + "loss": 0.2571, + "step": 173 + }, + { + "epoch": 0.16, + "grad_norm": 0.4271547198295593, + "learning_rate": 9.53207955512753e-05, + "loss": 0.3118, + "step": 174 + }, + { + "epoch": 0.17, + "grad_norm": 0.46997734904289246, + "learning_rate": 9.525572536251607e-05, + "loss": 0.4165, + "step": 175 + }, + { + "epoch": 0.17, + "grad_norm": 0.43963125348091125, + "learning_rate": 9.519022837645337e-05, + "loss": 0.3364, + "step": 176 + }, + { + "epoch": 0.17, + "grad_norm": 0.4160256087779999, + "learning_rate": 9.512430521077565e-05, + "loss": 0.2851, + "step": 177 + }, + { + "epoch": 0.17, + "grad_norm": 0.4184534251689911, + "learning_rate": 9.505795648719048e-05, + "loss": 0.3379, + "step": 178 + }, + { + "epoch": 0.17, + "grad_norm": 0.4775907099246979, + "learning_rate": 9.499118283141887e-05, + "loss": 0.3706, + "step": 179 + }, + { + "epoch": 0.17, + "grad_norm": 0.3853232264518738, + "learning_rate": 9.492398487318921e-05, + "loss": 0.3175, + "step": 180 + }, + { + "epoch": 0.17, + "grad_norm": 0.37623131275177, + "learning_rate": 9.485636324623146e-05, + "loss": 0.2571, + "step": 181 + }, + { + "epoch": 0.17, + "grad_norm": 0.41286978125572205, + "learning_rate": 9.478831858827104e-05, + "loss": 0.3544, + "step": 182 + }, + { + "epoch": 0.17, + "grad_norm": 0.4084218442440033, + "learning_rate": 9.471985154102292e-05, + "loss": 0.3279, + "step": 183 + }, + { + "epoch": 0.17, + "grad_norm": 0.5742401480674744, + "learning_rate": 9.465096275018556e-05, + "loss": 0.4284, + "step": 184 + }, + { + "epoch": 0.18, + "grad_norm": 0.48429086804389954, + "learning_rate": 9.458165286543476e-05, + "loss": 0.3218, + "step": 185 + }, + { + "epoch": 0.18, + "grad_norm": 0.48525944352149963, + "learning_rate": 9.451192254041758e-05, + "loss": 0.3434, + "step": 186 + }, + { + "epoch": 0.18, + "grad_norm": 0.49932390451431274, + "learning_rate": 9.444177243274618e-05, + "loss": 0.4464, + "step": 187 + }, + { + "epoch": 0.18, + "grad_norm": 0.45250341296195984, + "learning_rate": 9.437120320399158e-05, + "loss": 0.3498, + "step": 188 + }, + { + "epoch": 0.18, + "grad_norm": 0.3924804925918579, + "learning_rate": 9.430021551967744e-05, + "loss": 0.2776, + "step": 189 + }, + { + "epoch": 0.18, + "grad_norm": 0.3793688714504242, + "learning_rate": 9.422881004927381e-05, + "loss": 0.2747, + "step": 190 + }, + { + "epoch": 0.18, + "grad_norm": 0.41701602935791016, + "learning_rate": 9.415698746619079e-05, + "loss": 0.3365, + "step": 191 + }, + { + "epoch": 0.18, + "grad_norm": 0.4095969498157501, + "learning_rate": 9.408474844777217e-05, + "loss": 0.2589, + "step": 192 + }, + { + "epoch": 0.18, + "grad_norm": 0.4828776717185974, + "learning_rate": 9.401209367528908e-05, + "loss": 0.4754, + "step": 193 + }, + { + "epoch": 0.18, + "grad_norm": 0.41487669944763184, + "learning_rate": 9.393902383393347e-05, + "loss": 0.3103, + "step": 194 + }, + { + "epoch": 0.18, + "grad_norm": 0.5677187442779541, + "learning_rate": 9.386553961281179e-05, + "loss": 0.4281, + "step": 195 + }, + { + "epoch": 0.19, + "grad_norm": 0.4494563639163971, + "learning_rate": 9.379164170493844e-05, + "loss": 0.3802, + "step": 196 + }, + { + "epoch": 0.19, + "grad_norm": 0.4396170973777771, + "learning_rate": 9.371733080722911e-05, + "loss": 0.3371, + "step": 197 + }, + { + "epoch": 0.19, + "grad_norm": 0.3405661880970001, + "learning_rate": 9.36426076204944e-05, + "loss": 0.2232, + "step": 198 + }, + { + "epoch": 0.19, + "grad_norm": 0.41570788621902466, + "learning_rate": 9.35674728494331e-05, + "loss": 0.3509, + "step": 199 + }, + { + "epoch": 0.19, + "grad_norm": 0.3930405080318451, + "learning_rate": 9.349192720262555e-05, + "loss": 0.3006, + "step": 200 + }, + { + "epoch": 0.19, + "eval_loss": 0.3084467351436615, + "eval_runtime": 388.9171, + "eval_samples_per_second": 0.877, + "eval_steps_per_second": 0.221, + "step": 200 + }, + { + "epoch": 0.19, + "grad_norm": 0.4046098291873932, + "learning_rate": 9.341597139252698e-05, + "loss": 0.3208, + "step": 201 + }, + { + "epoch": 0.19, + "grad_norm": 0.43528658151626587, + "learning_rate": 9.333960613546079e-05, + "loss": 0.3081, + "step": 202 + }, + { + "epoch": 0.19, + "grad_norm": 0.36973515152931213, + "learning_rate": 9.326283215161178e-05, + "loss": 0.2638, + "step": 203 + }, + { + "epoch": 0.19, + "grad_norm": 0.3538803458213806, + "learning_rate": 9.31856501650194e-05, + "loss": 0.1659, + "step": 204 + }, + { + "epoch": 0.19, + "grad_norm": 0.402567058801651, + "learning_rate": 9.310806090357082e-05, + "loss": 0.357, + "step": 205 + }, + { + "epoch": 0.2, + "grad_norm": 0.33732229471206665, + "learning_rate": 9.303006509899418e-05, + "loss": 0.1823, + "step": 206 + }, + { + "epoch": 0.2, + "grad_norm": 0.4957587420940399, + "learning_rate": 9.29516634868517e-05, + "loss": 0.3466, + "step": 207 + }, + { + "epoch": 0.2, + "grad_norm": 0.5121288895606995, + "learning_rate": 9.287285680653254e-05, + "loss": 0.3716, + "step": 208 + }, + { + "epoch": 0.2, + "grad_norm": 0.4042970538139343, + "learning_rate": 9.279364580124614e-05, + "loss": 0.3038, + "step": 209 + }, + { + "epoch": 0.2, + "grad_norm": 0.4011918902397156, + "learning_rate": 9.27140312180149e-05, + "loss": 0.2283, + "step": 210 + }, + { + "epoch": 0.2, + "grad_norm": 0.5329661965370178, + "learning_rate": 9.263401380766739e-05, + "loss": 0.4141, + "step": 211 + }, + { + "epoch": 0.2, + "grad_norm": 0.47637537121772766, + "learning_rate": 9.255359432483105e-05, + "loss": 0.349, + "step": 212 + }, + { + "epoch": 0.2, + "grad_norm": 0.4198983609676361, + "learning_rate": 9.247277352792533e-05, + "loss": 0.2461, + "step": 213 + }, + { + "epoch": 0.2, + "grad_norm": 0.47595182061195374, + "learning_rate": 9.239155217915422e-05, + "loss": 0.3589, + "step": 214 + }, + { + "epoch": 0.2, + "grad_norm": 0.3810179829597473, + "learning_rate": 9.230993104449939e-05, + "loss": 0.2334, + "step": 215 + }, + { + "epoch": 0.2, + "grad_norm": 0.38976696133613586, + "learning_rate": 9.222791089371265e-05, + "loss": 0.295, + "step": 216 + }, + { + "epoch": 0.21, + "grad_norm": 0.38406479358673096, + "learning_rate": 9.214549250030899e-05, + "loss": 0.2749, + "step": 217 + }, + { + "epoch": 0.21, + "grad_norm": 0.4411284029483795, + "learning_rate": 9.206267664155907e-05, + "loss": 0.3951, + "step": 218 + }, + { + "epoch": 0.21, + "grad_norm": 0.3465658724308014, + "learning_rate": 9.197946409848194e-05, + "loss": 0.2309, + "step": 219 + }, + { + "epoch": 0.21, + "grad_norm": 0.367019921541214, + "learning_rate": 9.189585565583778e-05, + "loss": 0.2964, + "step": 220 + }, + { + "epoch": 0.21, + "grad_norm": 0.37305861711502075, + "learning_rate": 9.181185210212034e-05, + "loss": 0.323, + "step": 221 + }, + { + "epoch": 0.21, + "grad_norm": 0.37553930282592773, + "learning_rate": 9.172745422954961e-05, + "loss": 0.2614, + "step": 222 + }, + { + "epoch": 0.21, + "grad_norm": 0.38929733633995056, + "learning_rate": 9.164266283406433e-05, + "loss": 0.3389, + "step": 223 + }, + { + "epoch": 0.21, + "grad_norm": 0.3998091518878937, + "learning_rate": 9.155747871531444e-05, + "loss": 0.322, + "step": 224 + }, + { + "epoch": 0.21, + "grad_norm": 0.4623723030090332, + "learning_rate": 9.14719026766536e-05, + "loss": 0.366, + "step": 225 + }, + { + "epoch": 0.21, + "grad_norm": 0.41633743047714233, + "learning_rate": 9.13859355251316e-05, + "loss": 0.2965, + "step": 226 + }, + { + "epoch": 0.22, + "grad_norm": 0.3783974349498749, + "learning_rate": 9.129957807148666e-05, + "loss": 0.2263, + "step": 227 + }, + { + "epoch": 0.22, + "grad_norm": 0.4868335425853729, + "learning_rate": 9.121283113013795e-05, + "loss": 0.4145, + "step": 228 + }, + { + "epoch": 0.22, + "grad_norm": 0.3790939748287201, + "learning_rate": 9.112569551917774e-05, + "loss": 0.2589, + "step": 229 + }, + { + "epoch": 0.22, + "grad_norm": 0.48874813318252563, + "learning_rate": 9.103817206036382e-05, + "loss": 0.3771, + "step": 230 + }, + { + "epoch": 0.22, + "grad_norm": 0.47203895449638367, + "learning_rate": 9.095026157911166e-05, + "loss": 0.3425, + "step": 231 + }, + { + "epoch": 0.22, + "grad_norm": 0.4333976209163666, + "learning_rate": 9.086196490448668e-05, + "loss": 0.2626, + "step": 232 + }, + { + "epoch": 0.22, + "grad_norm": 0.46086961030960083, + "learning_rate": 9.077328286919638e-05, + "loss": 0.3654, + "step": 233 + }, + { + "epoch": 0.22, + "grad_norm": 0.4530964195728302, + "learning_rate": 9.068421630958254e-05, + "loss": 0.3772, + "step": 234 + }, + { + "epoch": 0.22, + "grad_norm": 0.34641772508621216, + "learning_rate": 9.059476606561328e-05, + "loss": 0.2236, + "step": 235 + }, + { + "epoch": 0.22, + "grad_norm": 0.4184739589691162, + "learning_rate": 9.050493298087523e-05, + "loss": 0.3458, + "step": 236 + }, + { + "epoch": 0.22, + "grad_norm": 0.39227980375289917, + "learning_rate": 9.041471790256542e-05, + "loss": 0.3097, + "step": 237 + }, + { + "epoch": 0.23, + "grad_norm": 0.39379796385765076, + "learning_rate": 9.032412168148345e-05, + "loss": 0.313, + "step": 238 + }, + { + "epoch": 0.23, + "grad_norm": 0.4767160415649414, + "learning_rate": 9.02331451720234e-05, + "loss": 0.3428, + "step": 239 + }, + { + "epoch": 0.23, + "grad_norm": 0.3696959316730499, + "learning_rate": 9.014178923216572e-05, + "loss": 0.2406, + "step": 240 + }, + { + "epoch": 0.23, + "grad_norm": 0.3842311501502991, + "learning_rate": 9.005005472346924e-05, + "loss": 0.253, + "step": 241 + }, + { + "epoch": 0.23, + "grad_norm": 0.44675490260124207, + "learning_rate": 8.995794251106295e-05, + "loss": 0.3911, + "step": 242 + }, + { + "epoch": 0.23, + "grad_norm": 0.4012981057167053, + "learning_rate": 8.986545346363792e-05, + "loss": 0.3122, + "step": 243 + }, + { + "epoch": 0.23, + "grad_norm": 0.4179876744747162, + "learning_rate": 8.977258845343905e-05, + "loss": 0.3407, + "step": 244 + }, + { + "epoch": 0.23, + "grad_norm": 0.3772086203098297, + "learning_rate": 8.967934835625689e-05, + "loss": 0.2932, + "step": 245 + }, + { + "epoch": 0.23, + "grad_norm": 0.46868202090263367, + "learning_rate": 8.958573405141932e-05, + "loss": 0.3366, + "step": 246 + }, + { + "epoch": 0.23, + "grad_norm": 0.4833935499191284, + "learning_rate": 8.949174642178332e-05, + "loss": 0.3927, + "step": 247 + }, + { + "epoch": 0.23, + "grad_norm": 0.4582580626010895, + "learning_rate": 8.939738635372664e-05, + "loss": 0.3322, + "step": 248 + }, + { + "epoch": 0.24, + "grad_norm": 0.4749627113342285, + "learning_rate": 8.930265473713938e-05, + "loss": 0.3708, + "step": 249 + }, + { + "epoch": 0.24, + "grad_norm": 0.45011281967163086, + "learning_rate": 8.920755246541563e-05, + "loss": 0.3485, + "step": 250 + }, + { + "epoch": 0.24, + "grad_norm": 0.40162166953086853, + "learning_rate": 8.911208043544513e-05, + "loss": 0.3136, + "step": 251 + }, + { + "epoch": 0.24, + "grad_norm": 0.3785412907600403, + "learning_rate": 8.90162395476046e-05, + "loss": 0.2934, + "step": 252 + }, + { + "epoch": 0.24, + "grad_norm": 0.521395206451416, + "learning_rate": 8.89200307057495e-05, + "loss": 0.4588, + "step": 253 + }, + { + "epoch": 0.24, + "grad_norm": 0.44272148609161377, + "learning_rate": 8.882345481720533e-05, + "loss": 0.3945, + "step": 254 + }, + { + "epoch": 0.24, + "grad_norm": 0.4032283127307892, + "learning_rate": 8.872651279275916e-05, + "loss": 0.3241, + "step": 255 + }, + { + "epoch": 0.24, + "grad_norm": 0.48827365040779114, + "learning_rate": 8.862920554665098e-05, + "loss": 0.3371, + "step": 256 + }, + { + "epoch": 0.24, + "grad_norm": 0.4076429009437561, + "learning_rate": 8.853153399656513e-05, + "loss": 0.3072, + "step": 257 + }, + { + "epoch": 0.24, + "grad_norm": 0.45559951663017273, + "learning_rate": 8.843349906362163e-05, + "loss": 0.3794, + "step": 258 + }, + { + "epoch": 0.25, + "grad_norm": 0.4802367687225342, + "learning_rate": 8.833510167236747e-05, + "loss": 0.3999, + "step": 259 + }, + { + "epoch": 0.25, + "grad_norm": 0.4042610228061676, + "learning_rate": 8.823634275076791e-05, + "loss": 0.3253, + "step": 260 + }, + { + "epoch": 0.25, + "grad_norm": 0.4060603678226471, + "learning_rate": 8.813722323019773e-05, + "loss": 0.3739, + "step": 261 + }, + { + "epoch": 0.25, + "grad_norm": 0.37076127529144287, + "learning_rate": 8.803774404543247e-05, + "loss": 0.257, + "step": 262 + }, + { + "epoch": 0.25, + "grad_norm": 0.3881576657295227, + "learning_rate": 8.793790613463955e-05, + "loss": 0.3287, + "step": 263 + }, + { + "epoch": 0.25, + "grad_norm": 0.31290051341056824, + "learning_rate": 8.783771043936948e-05, + "loss": 0.2226, + "step": 264 + }, + { + "epoch": 0.25, + "grad_norm": 0.40022042393684387, + "learning_rate": 8.773715790454695e-05, + "loss": 0.2917, + "step": 265 + }, + { + "epoch": 0.25, + "grad_norm": 0.3606204688549042, + "learning_rate": 8.763624947846195e-05, + "loss": 0.224, + "step": 266 + }, + { + "epoch": 0.25, + "grad_norm": 0.48021483421325684, + "learning_rate": 8.753498611276079e-05, + "loss": 0.3596, + "step": 267 + }, + { + "epoch": 0.25, + "grad_norm": 0.47170498967170715, + "learning_rate": 8.743336876243712e-05, + "loss": 0.4077, + "step": 268 + }, + { + "epoch": 0.25, + "grad_norm": 0.5183234810829163, + "learning_rate": 8.7331398385823e-05, + "loss": 0.4477, + "step": 269 + }, + { + "epoch": 0.26, + "grad_norm": 0.47882112860679626, + "learning_rate": 8.722907594457974e-05, + "loss": 0.3859, + "step": 270 + }, + { + "epoch": 0.26, + "grad_norm": 0.4458145797252655, + "learning_rate": 8.712640240368899e-05, + "loss": 0.3881, + "step": 271 + }, + { + "epoch": 0.26, + "grad_norm": 0.47427937388420105, + "learning_rate": 8.702337873144343e-05, + "loss": 0.3089, + "step": 272 + }, + { + "epoch": 0.26, + "grad_norm": 0.3881189525127411, + "learning_rate": 8.692000589943785e-05, + "loss": 0.2669, + "step": 273 + }, + { + "epoch": 0.26, + "grad_norm": 0.47891557216644287, + "learning_rate": 8.681628488255986e-05, + "loss": 0.3953, + "step": 274 + }, + { + "epoch": 0.26, + "grad_norm": 0.3770958483219147, + "learning_rate": 8.671221665898073e-05, + "loss": 0.2777, + "step": 275 + }, + { + "epoch": 0.26, + "grad_norm": 0.43087834119796753, + "learning_rate": 8.660780221014616e-05, + "loss": 0.326, + "step": 276 + }, + { + "epoch": 0.26, + "grad_norm": 0.4207721948623657, + "learning_rate": 8.650304252076703e-05, + "loss": 0.3052, + "step": 277 + }, + { + "epoch": 0.26, + "grad_norm": 0.3829022943973541, + "learning_rate": 8.639793857881011e-05, + "loss": 0.2636, + "step": 278 + }, + { + "epoch": 0.26, + "grad_norm": 0.5186901688575745, + "learning_rate": 8.629249137548874e-05, + "loss": 0.3903, + "step": 279 + }, + { + "epoch": 0.27, + "grad_norm": 0.4041597843170166, + "learning_rate": 8.618670190525352e-05, + "loss": 0.2611, + "step": 280 + }, + { + "epoch": 0.27, + "grad_norm": 0.41534358263015747, + "learning_rate": 8.608057116578283e-05, + "loss": 0.2872, + "step": 281 + }, + { + "epoch": 0.27, + "grad_norm": 0.47262248396873474, + "learning_rate": 8.597410015797358e-05, + "loss": 0.4081, + "step": 282 + }, + { + "epoch": 0.27, + "grad_norm": 0.3860476315021515, + "learning_rate": 8.586728988593158e-05, + "loss": 0.2329, + "step": 283 + }, + { + "epoch": 0.27, + "grad_norm": 0.48730090260505676, + "learning_rate": 8.576014135696226e-05, + "loss": 0.3219, + "step": 284 + }, + { + "epoch": 0.27, + "grad_norm": 0.4236432611942291, + "learning_rate": 8.565265558156101e-05, + "loss": 0.2836, + "step": 285 + }, + { + "epoch": 0.27, + "grad_norm": 0.5237382054328918, + "learning_rate": 8.554483357340379e-05, + "loss": 0.353, + "step": 286 + }, + { + "epoch": 0.27, + "grad_norm": 0.37562325596809387, + "learning_rate": 8.543667634933742e-05, + "loss": 0.2464, + "step": 287 + }, + { + "epoch": 0.27, + "grad_norm": 0.40596145391464233, + "learning_rate": 8.532818492937014e-05, + "loss": 0.2966, + "step": 288 + }, + { + "epoch": 0.27, + "grad_norm": 0.42180100083351135, + "learning_rate": 8.521936033666187e-05, + "loss": 0.2999, + "step": 289 + }, + { + "epoch": 0.27, + "grad_norm": 0.4076705873012543, + "learning_rate": 8.511020359751466e-05, + "loss": 0.3086, + "step": 290 + }, + { + "epoch": 0.28, + "grad_norm": 0.3389161229133606, + "learning_rate": 8.500071574136295e-05, + "loss": 0.2131, + "step": 291 + }, + { + "epoch": 0.28, + "grad_norm": 0.4136177897453308, + "learning_rate": 8.489089780076386e-05, + "loss": 0.2865, + "step": 292 + }, + { + "epoch": 0.28, + "grad_norm": 0.431543231010437, + "learning_rate": 8.478075081138745e-05, + "loss": 0.2909, + "step": 293 + }, + { + "epoch": 0.28, + "grad_norm": 0.5177910327911377, + "learning_rate": 8.467027581200702e-05, + "loss": 0.4105, + "step": 294 + }, + { + "epoch": 0.28, + "grad_norm": 0.46816176176071167, + "learning_rate": 8.455947384448924e-05, + "loss": 0.3566, + "step": 295 + }, + { + "epoch": 0.28, + "grad_norm": 0.35551542043685913, + "learning_rate": 8.444834595378434e-05, + "loss": 0.2521, + "step": 296 + }, + { + "epoch": 0.28, + "grad_norm": 0.41277021169662476, + "learning_rate": 8.433689318791626e-05, + "loss": 0.3427, + "step": 297 + }, + { + "epoch": 0.28, + "grad_norm": 0.40482524037361145, + "learning_rate": 8.422511659797279e-05, + "loss": 0.2991, + "step": 298 + }, + { + "epoch": 0.28, + "grad_norm": 0.41236555576324463, + "learning_rate": 8.411301723809563e-05, + "loss": 0.2905, + "step": 299 + }, + { + "epoch": 0.28, + "grad_norm": 0.39597707986831665, + "learning_rate": 8.400059616547047e-05, + "loss": 0.3251, + "step": 300 + }, + { + "epoch": 0.28, + "eval_loss": 0.3053378164768219, + "eval_runtime": 376.772, + "eval_samples_per_second": 0.905, + "eval_steps_per_second": 0.228, + "step": 300 + }, + { + "epoch": 0.29, + "grad_norm": 0.4647742807865143, + "learning_rate": 8.388785444031695e-05, + "loss": 0.395, + "step": 301 + }, + { + "epoch": 0.29, + "grad_norm": 0.4007340967655182, + "learning_rate": 8.377479312587879e-05, + "loss": 0.2737, + "step": 302 + }, + { + "epoch": 0.29, + "grad_norm": 0.417574942111969, + "learning_rate": 8.366141328841366e-05, + "loss": 0.3351, + "step": 303 + }, + { + "epoch": 0.29, + "grad_norm": 0.347423791885376, + "learning_rate": 8.354771599718312e-05, + "loss": 0.2653, + "step": 304 + }, + { + "epoch": 0.29, + "grad_norm": 0.433025062084198, + "learning_rate": 8.343370232444261e-05, + "loss": 0.3532, + "step": 305 + }, + { + "epoch": 0.29, + "grad_norm": 0.3730097711086273, + "learning_rate": 8.331937334543132e-05, + "loss": 0.2968, + "step": 306 + }, + { + "epoch": 0.29, + "grad_norm": 0.48292431235313416, + "learning_rate": 8.320473013836196e-05, + "loss": 0.4295, + "step": 307 + }, + { + "epoch": 0.29, + "grad_norm": 0.439970463514328, + "learning_rate": 8.308977378441072e-05, + "loss": 0.4032, + "step": 308 + }, + { + "epoch": 0.29, + "grad_norm": 0.3936116397380829, + "learning_rate": 8.297450536770697e-05, + "loss": 0.3051, + "step": 309 + }, + { + "epoch": 0.29, + "grad_norm": 0.41220739483833313, + "learning_rate": 8.28589259753231e-05, + "loss": 0.292, + "step": 310 + }, + { + "epoch": 0.29, + "grad_norm": 0.41591155529022217, + "learning_rate": 8.274303669726426e-05, + "loss": 0.3345, + "step": 311 + }, + { + "epoch": 0.3, + "grad_norm": 0.39442381262779236, + "learning_rate": 8.262683862645804e-05, + "loss": 0.3164, + "step": 312 + }, + { + "epoch": 0.3, + "grad_norm": 0.4502621293067932, + "learning_rate": 8.251033285874421e-05, + "loss": 0.3558, + "step": 313 + }, + { + "epoch": 0.3, + "grad_norm": 0.42802926898002625, + "learning_rate": 8.239352049286435e-05, + "loss": 0.3198, + "step": 314 + }, + { + "epoch": 0.3, + "grad_norm": 0.4209524095058441, + "learning_rate": 8.22764026304515e-05, + "loss": 0.3313, + "step": 315 + }, + { + "epoch": 0.3, + "grad_norm": 0.43702828884124756, + "learning_rate": 8.21589803760198e-05, + "loss": 0.3498, + "step": 316 + }, + { + "epoch": 0.3, + "grad_norm": 0.3823443055152893, + "learning_rate": 8.204125483695403e-05, + "loss": 0.3173, + "step": 317 + }, + { + "epoch": 0.3, + "grad_norm": 0.37982624769210815, + "learning_rate": 8.192322712349917e-05, + "loss": 0.2638, + "step": 318 + }, + { + "epoch": 0.3, + "grad_norm": 0.41392555832862854, + "learning_rate": 8.180489834875e-05, + "loss": 0.3171, + "step": 319 + }, + { + "epoch": 0.3, + "grad_norm": 0.4302511215209961, + "learning_rate": 8.168626962864045e-05, + "loss": 0.2687, + "step": 320 + }, + { + "epoch": 0.3, + "grad_norm": 0.47123268246650696, + "learning_rate": 8.156734208193327e-05, + "loss": 0.3131, + "step": 321 + }, + { + "epoch": 0.31, + "grad_norm": 0.4142516851425171, + "learning_rate": 8.144811683020932e-05, + "loss": 0.2877, + "step": 322 + }, + { + "epoch": 0.31, + "grad_norm": 0.43524178862571716, + "learning_rate": 8.132859499785707e-05, + "loss": 0.3487, + "step": 323 + }, + { + "epoch": 0.31, + "grad_norm": 0.4116482436656952, + "learning_rate": 8.120877771206201e-05, + "loss": 0.3156, + "step": 324 + }, + { + "epoch": 0.31, + "grad_norm": 0.49788716435432434, + "learning_rate": 8.108866610279593e-05, + "loss": 0.3947, + "step": 325 + }, + { + "epoch": 0.31, + "grad_norm": 0.4383057951927185, + "learning_rate": 8.096826130280639e-05, + "loss": 0.3066, + "step": 326 + }, + { + "epoch": 0.31, + "grad_norm": 0.4812861382961273, + "learning_rate": 8.08475644476059e-05, + "loss": 0.3646, + "step": 327 + }, + { + "epoch": 0.31, + "grad_norm": 0.42143720388412476, + "learning_rate": 8.072657667546136e-05, + "loss": 0.3719, + "step": 328 + }, + { + "epoch": 0.31, + "grad_norm": 0.43385979533195496, + "learning_rate": 8.060529912738315e-05, + "loss": 0.3691, + "step": 329 + }, + { + "epoch": 0.31, + "grad_norm": 0.5112125277519226, + "learning_rate": 8.048373294711455e-05, + "loss": 0.3336, + "step": 330 + }, + { + "epoch": 0.31, + "grad_norm": 1.742655634880066, + "learning_rate": 8.036187928112087e-05, + "loss": 0.3463, + "step": 331 + }, + { + "epoch": 0.31, + "grad_norm": 0.45481520891189575, + "learning_rate": 8.023973927857857e-05, + "loss": 0.3956, + "step": 332 + }, + { + "epoch": 0.32, + "grad_norm": 0.529845654964447, + "learning_rate": 8.011731409136454e-05, + "loss": 0.3941, + "step": 333 + }, + { + "epoch": 0.32, + "grad_norm": 0.4360586106777191, + "learning_rate": 7.99946048740452e-05, + "loss": 0.2524, + "step": 334 + }, + { + "epoch": 0.32, + "grad_norm": 0.5153516530990601, + "learning_rate": 7.987161278386554e-05, + "loss": 0.365, + "step": 335 + }, + { + "epoch": 0.32, + "grad_norm": 0.4026721715927124, + "learning_rate": 7.974833898073832e-05, + "loss": 0.3111, + "step": 336 + }, + { + "epoch": 0.32, + "grad_norm": 0.45282304286956787, + "learning_rate": 7.962478462723307e-05, + "loss": 0.3708, + "step": 337 + }, + { + "epoch": 0.32, + "grad_norm": 0.4389725923538208, + "learning_rate": 7.950095088856508e-05, + "loss": 0.3558, + "step": 338 + }, + { + "epoch": 0.32, + "grad_norm": 0.34882915019989014, + "learning_rate": 7.937683893258454e-05, + "loss": 0.2254, + "step": 339 + }, + { + "epoch": 0.32, + "grad_norm": 0.4819268584251404, + "learning_rate": 7.925244992976538e-05, + "loss": 0.4112, + "step": 340 + }, + { + "epoch": 0.32, + "grad_norm": 0.3798743486404419, + "learning_rate": 7.912778505319436e-05, + "loss": 0.3277, + "step": 341 + }, + { + "epoch": 0.32, + "grad_norm": 0.32814425230026245, + "learning_rate": 7.900284547855991e-05, + "loss": 0.1931, + "step": 342 + }, + { + "epoch": 0.33, + "grad_norm": 0.49891549348831177, + "learning_rate": 7.88776323841411e-05, + "loss": 0.368, + "step": 343 + }, + { + "epoch": 0.33, + "grad_norm": 0.5247824192047119, + "learning_rate": 7.875214695079647e-05, + "loss": 0.3932, + "step": 344 + }, + { + "epoch": 0.33, + "grad_norm": 0.33255767822265625, + "learning_rate": 7.862639036195298e-05, + "loss": 0.2609, + "step": 345 + }, + { + "epoch": 0.33, + "grad_norm": 0.48547419905662537, + "learning_rate": 7.850036380359478e-05, + "loss": 0.3502, + "step": 346 + }, + { + "epoch": 0.33, + "grad_norm": 0.4334273338317871, + "learning_rate": 7.837406846425204e-05, + "loss": 0.3819, + "step": 347 + }, + { + "epoch": 0.33, + "grad_norm": 0.4432954490184784, + "learning_rate": 7.824750553498976e-05, + "loss": 0.394, + "step": 348 + }, + { + "epoch": 0.33, + "grad_norm": 0.48492997884750366, + "learning_rate": 7.812067620939652e-05, + "loss": 0.3532, + "step": 349 + }, + { + "epoch": 0.33, + "grad_norm": 0.3824009895324707, + "learning_rate": 7.799358168357323e-05, + "loss": 0.2875, + "step": 350 + }, + { + "epoch": 0.33, + "grad_norm": 0.5168920159339905, + "learning_rate": 7.786622315612183e-05, + "loss": 0.3885, + "step": 351 + }, + { + "epoch": 0.33, + "grad_norm": 0.3767426013946533, + "learning_rate": 7.773860182813403e-05, + "loss": 0.2681, + "step": 352 + }, + { + "epoch": 0.33, + "grad_norm": 0.45943331718444824, + "learning_rate": 7.761071890317994e-05, + "loss": 0.341, + "step": 353 + }, + { + "epoch": 0.34, + "grad_norm": 0.40229344367980957, + "learning_rate": 7.748257558729677e-05, + "loss": 0.3217, + "step": 354 + }, + { + "epoch": 0.34, + "grad_norm": 0.43115130066871643, + "learning_rate": 7.735417308897736e-05, + "loss": 0.3699, + "step": 355 + }, + { + "epoch": 0.34, + "grad_norm": 0.4053991138935089, + "learning_rate": 7.72255126191589e-05, + "loss": 0.3191, + "step": 356 + }, + { + "epoch": 0.34, + "grad_norm": 0.46663257479667664, + "learning_rate": 7.709659539121144e-05, + "loss": 0.3258, + "step": 357 + }, + { + "epoch": 0.34, + "grad_norm": 0.39004477858543396, + "learning_rate": 7.696742262092644e-05, + "loss": 0.2996, + "step": 358 + }, + { + "epoch": 0.34, + "grad_norm": 0.3414752185344696, + "learning_rate": 7.683799552650534e-05, + "loss": 0.2297, + "step": 359 + }, + { + "epoch": 0.34, + "grad_norm": 0.3376968502998352, + "learning_rate": 7.67083153285481e-05, + "loss": 0.2442, + "step": 360 + }, + { + "epoch": 0.34, + "grad_norm": 0.37360575795173645, + "learning_rate": 7.657838325004159e-05, + "loss": 0.2628, + "step": 361 + }, + { + "epoch": 0.34, + "grad_norm": 0.4016753137111664, + "learning_rate": 7.644820051634812e-05, + "loss": 0.3307, + "step": 362 + }, + { + "epoch": 0.34, + "grad_norm": 0.4536408483982086, + "learning_rate": 7.63177683551939e-05, + "loss": 0.2852, + "step": 363 + }, + { + "epoch": 0.34, + "grad_norm": 0.42366743087768555, + "learning_rate": 7.618708799665744e-05, + "loss": 0.2858, + "step": 364 + }, + { + "epoch": 0.35, + "grad_norm": 0.4187493920326233, + "learning_rate": 7.605616067315793e-05, + "loss": 0.3561, + "step": 365 + }, + { + "epoch": 0.35, + "grad_norm": 0.37502115964889526, + "learning_rate": 7.592498761944362e-05, + "loss": 0.2209, + "step": 366 + }, + { + "epoch": 0.35, + "grad_norm": 0.30580833554267883, + "learning_rate": 7.579357007258022e-05, + "loss": 0.1708, + "step": 367 + }, + { + "epoch": 0.35, + "grad_norm": 0.4009668529033661, + "learning_rate": 7.56619092719392e-05, + "loss": 0.2685, + "step": 368 + }, + { + "epoch": 0.35, + "grad_norm": 0.37424060702323914, + "learning_rate": 7.553000645918611e-05, + "loss": 0.2034, + "step": 369 + }, + { + "epoch": 0.35, + "grad_norm": 0.33520057797431946, + "learning_rate": 7.539786287826885e-05, + "loss": 0.2141, + "step": 370 + }, + { + "epoch": 0.35, + "grad_norm": 0.3602328300476074, + "learning_rate": 7.526547977540592e-05, + "loss": 0.2214, + "step": 371 + }, + { + "epoch": 0.35, + "grad_norm": 0.3910132944583893, + "learning_rate": 7.51328583990748e-05, + "loss": 0.2584, + "step": 372 + }, + { + "epoch": 0.35, + "grad_norm": 0.43052783608436584, + "learning_rate": 7.500000000000001e-05, + "loss": 0.2919, + "step": 373 + }, + { + "epoch": 0.35, + "grad_norm": 0.3827561140060425, + "learning_rate": 7.486690583114136e-05, + "loss": 0.2129, + "step": 374 + }, + { + "epoch": 0.36, + "grad_norm": 0.48869532346725464, + "learning_rate": 7.473357714768222e-05, + "loss": 0.3665, + "step": 375 + }, + { + "epoch": 0.36, + "grad_norm": 0.5260458588600159, + "learning_rate": 7.460001520701755e-05, + "loss": 0.45, + "step": 376 + }, + { + "epoch": 0.36, + "grad_norm": 0.49762579798698425, + "learning_rate": 7.446622126874218e-05, + "loss": 0.3492, + "step": 377 + }, + { + "epoch": 0.36, + "grad_norm": 0.49906134605407715, + "learning_rate": 7.433219659463881e-05, + "loss": 0.3686, + "step": 378 + }, + { + "epoch": 0.36, + "grad_norm": 0.43443796038627625, + "learning_rate": 7.41979424486662e-05, + "loss": 0.3532, + "step": 379 + }, + { + "epoch": 0.36, + "grad_norm": 0.4305638372898102, + "learning_rate": 7.406346009694713e-05, + "loss": 0.2751, + "step": 380 + }, + { + "epoch": 0.36, + "grad_norm": 0.3603278696537018, + "learning_rate": 7.392875080775665e-05, + "loss": 0.2739, + "step": 381 + }, + { + "epoch": 0.36, + "grad_norm": 0.44212138652801514, + "learning_rate": 7.379381585150996e-05, + "loss": 0.3136, + "step": 382 + }, + { + "epoch": 0.36, + "grad_norm": 0.3916763961315155, + "learning_rate": 7.365865650075046e-05, + "loss": 0.287, + "step": 383 + }, + { + "epoch": 0.36, + "grad_norm": 0.3192064166069031, + "learning_rate": 7.35232740301378e-05, + "loss": 0.2272, + "step": 384 + }, + { + "epoch": 0.36, + "grad_norm": 0.38105249404907227, + "learning_rate": 7.338766971643579e-05, + "loss": 0.3102, + "step": 385 + }, + { + "epoch": 0.37, + "grad_norm": 0.4224295914173126, + "learning_rate": 7.325184483850042e-05, + "loss": 0.3151, + "step": 386 + }, + { + "epoch": 0.37, + "grad_norm": 0.361806184053421, + "learning_rate": 7.311580067726783e-05, + "loss": 0.2248, + "step": 387 + }, + { + "epoch": 0.37, + "grad_norm": 0.3746489882469177, + "learning_rate": 7.297953851574206e-05, + "loss": 0.2809, + "step": 388 + }, + { + "epoch": 0.37, + "grad_norm": 0.48226237297058105, + "learning_rate": 7.284305963898314e-05, + "loss": 0.4617, + "step": 389 + }, + { + "epoch": 0.37, + "grad_norm": 0.42972224950790405, + "learning_rate": 7.27063653340949e-05, + "loss": 0.3475, + "step": 390 + }, + { + "epoch": 0.37, + "grad_norm": 0.42233508825302124, + "learning_rate": 7.25694568902128e-05, + "loss": 0.3409, + "step": 391 + }, + { + "epoch": 0.37, + "grad_norm": 0.2803710401058197, + "learning_rate": 7.243233559849179e-05, + "loss": 0.2025, + "step": 392 + }, + { + "epoch": 0.37, + "grad_norm": 0.34155765175819397, + "learning_rate": 7.229500275209418e-05, + "loss": 0.2606, + "step": 393 + }, + { + "epoch": 0.37, + "grad_norm": 0.38971152901649475, + "learning_rate": 7.215745964617737e-05, + "loss": 0.2833, + "step": 394 + }, + { + "epoch": 0.37, + "grad_norm": 0.37858226895332336, + "learning_rate": 7.201970757788172e-05, + "loss": 0.3383, + "step": 395 + }, + { + "epoch": 0.38, + "grad_norm": 0.3657345175743103, + "learning_rate": 7.188174784631824e-05, + "loss": 0.2336, + "step": 396 + }, + { + "epoch": 0.38, + "grad_norm": 0.3923492729663849, + "learning_rate": 7.174358175255636e-05, + "loss": 0.2972, + "step": 397 + }, + { + "epoch": 0.38, + "grad_norm": 0.3969753086566925, + "learning_rate": 7.160521059961169e-05, + "loss": 0.2849, + "step": 398 + }, + { + "epoch": 0.38, + "grad_norm": 0.2949353754520416, + "learning_rate": 7.146663569243371e-05, + "loss": 0.2215, + "step": 399 + }, + { + "epoch": 0.38, + "grad_norm": 0.45280420780181885, + "learning_rate": 7.132785833789344e-05, + "loss": 0.3974, + "step": 400 + }, + { + "epoch": 0.38, + "eval_loss": 0.30068090558052063, + "eval_runtime": 369.9676, + "eval_samples_per_second": 0.922, + "eval_steps_per_second": 0.232, + "step": 400 + }, + { + "epoch": 0.38, + "grad_norm": 0.36197903752326965, + "learning_rate": 7.118887984477116e-05, + "loss": 0.2835, + "step": 401 + }, + { + "epoch": 0.38, + "grad_norm": 0.34623628854751587, + "learning_rate": 7.104970152374405e-05, + "loss": 0.3069, + "step": 402 + }, + { + "epoch": 0.38, + "grad_norm": 0.3760015666484833, + "learning_rate": 7.091032468737381e-05, + "loss": 0.2888, + "step": 403 + }, + { + "epoch": 0.38, + "grad_norm": 0.3890538513660431, + "learning_rate": 7.077075065009433e-05, + "loss": 0.299, + "step": 404 + }, + { + "epoch": 0.38, + "grad_norm": 0.36255285143852234, + "learning_rate": 7.063098072819919e-05, + "loss": 0.3058, + "step": 405 + }, + { + "epoch": 0.38, + "grad_norm": 0.3318592309951782, + "learning_rate": 7.049101623982937e-05, + "loss": 0.2326, + "step": 406 + }, + { + "epoch": 0.39, + "grad_norm": 0.36836788058280945, + "learning_rate": 7.03508585049608e-05, + "loss": 0.2571, + "step": 407 + }, + { + "epoch": 0.39, + "grad_norm": 0.4255884885787964, + "learning_rate": 7.021050884539177e-05, + "loss": 0.3345, + "step": 408 + }, + { + "epoch": 0.39, + "grad_norm": 0.36213773488998413, + "learning_rate": 7.006996858473069e-05, + "loss": 0.2725, + "step": 409 + }, + { + "epoch": 0.39, + "grad_norm": 0.3614218235015869, + "learning_rate": 6.99292390483834e-05, + "loss": 0.2409, + "step": 410 + }, + { + "epoch": 0.39, + "grad_norm": 0.34119337797164917, + "learning_rate": 6.97883215635408e-05, + "loss": 0.2615, + "step": 411 + }, + { + "epoch": 0.39, + "grad_norm": 0.4752042293548584, + "learning_rate": 6.964721745916631e-05, + "loss": 0.3332, + "step": 412 + }, + { + "epoch": 0.39, + "grad_norm": 0.3704507052898407, + "learning_rate": 6.950592806598327e-05, + "loss": 0.2744, + "step": 413 + }, + { + "epoch": 0.39, + "grad_norm": 0.3751181662082672, + "learning_rate": 6.936445471646249e-05, + "loss": 0.2733, + "step": 414 + }, + { + "epoch": 0.39, + "grad_norm": 0.38812124729156494, + "learning_rate": 6.922279874480959e-05, + "loss": 0.3402, + "step": 415 + }, + { + "epoch": 0.39, + "grad_norm": 0.3884803056716919, + "learning_rate": 6.908096148695251e-05, + "loss": 0.3195, + "step": 416 + }, + { + "epoch": 0.4, + "grad_norm": 0.3704192042350769, + "learning_rate": 6.89389442805288e-05, + "loss": 0.2742, + "step": 417 + }, + { + "epoch": 0.4, + "grad_norm": 0.4019993543624878, + "learning_rate": 6.879674846487314e-05, + "loss": 0.3018, + "step": 418 + }, + { + "epoch": 0.4, + "grad_norm": 0.42715343832969666, + "learning_rate": 6.865437538100457e-05, + "loss": 0.3402, + "step": 419 + }, + { + "epoch": 0.4, + "grad_norm": 0.33204010128974915, + "learning_rate": 6.851182637161396e-05, + "loss": 0.2293, + "step": 420 + }, + { + "epoch": 0.4, + "grad_norm": 0.3886491060256958, + "learning_rate": 6.836910278105124e-05, + "loss": 0.2975, + "step": 421 + }, + { + "epoch": 0.4, + "grad_norm": 0.429673433303833, + "learning_rate": 6.822620595531286e-05, + "loss": 0.3454, + "step": 422 + }, + { + "epoch": 0.4, + "grad_norm": 0.392663836479187, + "learning_rate": 6.808313724202894e-05, + "loss": 0.2883, + "step": 423 + }, + { + "epoch": 0.4, + "grad_norm": 0.3442196547985077, + "learning_rate": 6.793989799045066e-05, + "loss": 0.232, + "step": 424 + }, + { + "epoch": 0.4, + "grad_norm": 0.43839895725250244, + "learning_rate": 6.779648955143754e-05, + "loss": 0.3182, + "step": 425 + }, + { + "epoch": 0.4, + "grad_norm": 0.3995040953159332, + "learning_rate": 6.765291327744463e-05, + "loss": 0.3276, + "step": 426 + }, + { + "epoch": 0.4, + "grad_norm": 0.36061960458755493, + "learning_rate": 6.750917052250982e-05, + "loss": 0.2887, + "step": 427 + }, + { + "epoch": 0.41, + "grad_norm": 0.3944300413131714, + "learning_rate": 6.736526264224101e-05, + "loss": 0.3062, + "step": 428 + }, + { + "epoch": 0.41, + "grad_norm": 0.42164069414138794, + "learning_rate": 6.722119099380345e-05, + "loss": 0.3433, + "step": 429 + }, + { + "epoch": 0.41, + "grad_norm": 0.33990684151649475, + "learning_rate": 6.707695693590676e-05, + "loss": 0.2064, + "step": 430 + }, + { + "epoch": 0.41, + "grad_norm": 0.3268337547779083, + "learning_rate": 6.693256182879225e-05, + "loss": 0.2728, + "step": 431 + }, + { + "epoch": 0.41, + "grad_norm": 0.4086841940879822, + "learning_rate": 6.678800703422003e-05, + "loss": 0.3605, + "step": 432 + }, + { + "epoch": 0.41, + "grad_norm": 0.465461403131485, + "learning_rate": 6.664329391545626e-05, + "loss": 0.3917, + "step": 433 + }, + { + "epoch": 0.41, + "grad_norm": 0.4519641697406769, + "learning_rate": 6.64984238372601e-05, + "loss": 0.4305, + "step": 434 + }, + { + "epoch": 0.41, + "grad_norm": 0.36165934801101685, + "learning_rate": 6.635339816587109e-05, + "loss": 0.2957, + "step": 435 + }, + { + "epoch": 0.41, + "grad_norm": 0.49502721428871155, + "learning_rate": 6.620821826899606e-05, + "loss": 0.3882, + "step": 436 + }, + { + "epoch": 0.41, + "grad_norm": 0.4157223105430603, + "learning_rate": 6.606288551579629e-05, + "loss": 0.3393, + "step": 437 + }, + { + "epoch": 0.42, + "grad_norm": 0.42530369758605957, + "learning_rate": 6.59174012768747e-05, + "loss": 0.3835, + "step": 438 + }, + { + "epoch": 0.42, + "grad_norm": 0.3848186731338501, + "learning_rate": 6.577176692426279e-05, + "loss": 0.3403, + "step": 439 + }, + { + "epoch": 0.42, + "grad_norm": 0.4040294289588928, + "learning_rate": 6.562598383140772e-05, + "loss": 0.3292, + "step": 440 + }, + { + "epoch": 0.42, + "grad_norm": 0.38477933406829834, + "learning_rate": 6.548005337315944e-05, + "loss": 0.2976, + "step": 441 + }, + { + "epoch": 0.42, + "grad_norm": 0.3160758316516876, + "learning_rate": 6.533397692575766e-05, + "loss": 0.1825, + "step": 442 + }, + { + "epoch": 0.42, + "grad_norm": 0.5142346620559692, + "learning_rate": 6.518775586681887e-05, + "loss": 0.4348, + "step": 443 + }, + { + "epoch": 0.42, + "grad_norm": 0.3608967363834381, + "learning_rate": 6.504139157532337e-05, + "loss": 0.2784, + "step": 444 + }, + { + "epoch": 0.42, + "grad_norm": 0.33182722330093384, + "learning_rate": 6.489488543160224e-05, + "loss": 0.2209, + "step": 445 + }, + { + "epoch": 0.42, + "grad_norm": 0.3692116141319275, + "learning_rate": 6.47482388173244e-05, + "loss": 0.2427, + "step": 446 + }, + { + "epoch": 0.42, + "grad_norm": 0.4166927635669708, + "learning_rate": 6.460145311548341e-05, + "loss": 0.368, + "step": 447 + }, + { + "epoch": 0.42, + "grad_norm": 0.4535463750362396, + "learning_rate": 6.445452971038464e-05, + "loss": 0.3308, + "step": 448 + }, + { + "epoch": 0.43, + "grad_norm": 0.4454578459262848, + "learning_rate": 6.430746998763204e-05, + "loss": 0.3745, + "step": 449 + }, + { + "epoch": 0.43, + "grad_norm": 0.41668403148651123, + "learning_rate": 6.416027533411519e-05, + "loss": 0.3766, + "step": 450 + }, + { + "epoch": 0.43, + "grad_norm": 0.5912679433822632, + "learning_rate": 6.401294713799618e-05, + "loss": 0.4387, + "step": 451 + }, + { + "epoch": 0.43, + "grad_norm": 0.3945387899875641, + "learning_rate": 6.386548678869644e-05, + "loss": 0.3043, + "step": 452 + }, + { + "epoch": 0.43, + "grad_norm": 0.3480340242385864, + "learning_rate": 6.37178956768838e-05, + "loss": 0.2651, + "step": 453 + }, + { + "epoch": 0.43, + "grad_norm": 0.39592987298965454, + "learning_rate": 6.35701751944592e-05, + "loss": 0.311, + "step": 454 + }, + { + "epoch": 0.43, + "grad_norm": 0.40607360005378723, + "learning_rate": 6.342232673454371e-05, + "loss": 0.3391, + "step": 455 + }, + { + "epoch": 0.43, + "grad_norm": 0.32058456540107727, + "learning_rate": 6.32743516914653e-05, + "loss": 0.2055, + "step": 456 + }, + { + "epoch": 0.43, + "grad_norm": 0.4424896240234375, + "learning_rate": 6.312625146074575e-05, + "loss": 0.348, + "step": 457 + }, + { + "epoch": 0.43, + "grad_norm": 0.36645376682281494, + "learning_rate": 6.297802743908741e-05, + "loss": 0.2687, + "step": 458 + }, + { + "epoch": 0.43, + "grad_norm": 0.379740834236145, + "learning_rate": 6.282968102436009e-05, + "loss": 0.3027, + "step": 459 + }, + { + "epoch": 0.44, + "grad_norm": 0.3414551317691803, + "learning_rate": 6.268121361558792e-05, + "loss": 0.2337, + "step": 460 + }, + { + "epoch": 0.44, + "grad_norm": 0.3833504915237427, + "learning_rate": 6.253262661293604e-05, + "loss": 0.3471, + "step": 461 + }, + { + "epoch": 0.44, + "grad_norm": 0.37215739488601685, + "learning_rate": 6.238392141769743e-05, + "loss": 0.2434, + "step": 462 + }, + { + "epoch": 0.44, + "grad_norm": 0.4152020812034607, + "learning_rate": 6.22350994322798e-05, + "loss": 0.3909, + "step": 463 + }, + { + "epoch": 0.44, + "grad_norm": 0.3794286847114563, + "learning_rate": 6.208616206019224e-05, + "loss": 0.2629, + "step": 464 + }, + { + "epoch": 0.44, + "grad_norm": 0.3543379604816437, + "learning_rate": 6.193711070603202e-05, + "loss": 0.252, + "step": 465 + }, + { + "epoch": 0.44, + "grad_norm": 0.36758437752723694, + "learning_rate": 6.178794677547137e-05, + "loss": 0.273, + "step": 466 + }, + { + "epoch": 0.44, + "grad_norm": 0.41124922037124634, + "learning_rate": 6.163867167524419e-05, + "loss": 0.3192, + "step": 467 + }, + { + "epoch": 0.44, + "grad_norm": 0.42042025923728943, + "learning_rate": 6.14892868131328e-05, + "loss": 0.2983, + "step": 468 + }, + { + "epoch": 0.44, + "grad_norm": 0.3670899569988251, + "learning_rate": 6.133979359795468e-05, + "loss": 0.2665, + "step": 469 + }, + { + "epoch": 0.45, + "grad_norm": 0.39666733145713806, + "learning_rate": 6.119019343954914e-05, + "loss": 0.2879, + "step": 470 + }, + { + "epoch": 0.45, + "grad_norm": 0.37360242009162903, + "learning_rate": 6.104048774876406e-05, + "loss": 0.2979, + "step": 471 + }, + { + "epoch": 0.45, + "grad_norm": 0.4077526926994324, + "learning_rate": 6.0890677937442574e-05, + "loss": 0.3643, + "step": 472 + }, + { + "epoch": 0.45, + "grad_norm": 0.5177510976791382, + "learning_rate": 6.074076541840977e-05, + "loss": 0.478, + "step": 473 + }, + { + "epoch": 0.45, + "grad_norm": 0.3729604482650757, + "learning_rate": 6.059075160545933e-05, + "loss": 0.2348, + "step": 474 + }, + { + "epoch": 0.45, + "grad_norm": 0.3867332935333252, + "learning_rate": 6.0440637913340224e-05, + "loss": 0.2397, + "step": 475 + }, + { + "epoch": 0.45, + "grad_norm": 0.3798309564590454, + "learning_rate": 6.029042575774334e-05, + "loss": 0.2985, + "step": 476 + }, + { + "epoch": 0.45, + "grad_norm": 0.4377082884311676, + "learning_rate": 6.0140116555288204e-05, + "loss": 0.3347, + "step": 477 + }, + { + "epoch": 0.45, + "grad_norm": 0.3695531189441681, + "learning_rate": 5.998971172350953e-05, + "loss": 0.3133, + "step": 478 + }, + { + "epoch": 0.45, + "grad_norm": 0.3421245217323303, + "learning_rate": 5.9839212680843925e-05, + "loss": 0.2555, + "step": 479 + }, + { + "epoch": 0.45, + "grad_norm": 0.44313791394233704, + "learning_rate": 5.968862084661643e-05, + "loss": 0.3724, + "step": 480 + }, + { + "epoch": 0.46, + "grad_norm": 0.36526092886924744, + "learning_rate": 5.953793764102722e-05, + "loss": 0.2995, + "step": 481 + }, + { + "epoch": 0.46, + "grad_norm": 0.3772035539150238, + "learning_rate": 5.938716448513818e-05, + "loss": 0.2864, + "step": 482 + }, + { + "epoch": 0.46, + "grad_norm": 0.49520444869995117, + "learning_rate": 5.923630280085948e-05, + "loss": 0.4505, + "step": 483 + }, + { + "epoch": 0.46, + "grad_norm": 0.4190358519554138, + "learning_rate": 5.908535401093618e-05, + "loss": 0.3696, + "step": 484 + }, + { + "epoch": 0.46, + "grad_norm": 0.357243150472641, + "learning_rate": 5.8934319538934824e-05, + "loss": 0.2911, + "step": 485 + }, + { + "epoch": 0.46, + "grad_norm": 0.3449594974517822, + "learning_rate": 5.878320080923001e-05, + "loss": 0.2866, + "step": 486 + }, + { + "epoch": 0.46, + "grad_norm": 0.4797684848308563, + "learning_rate": 5.863199924699095e-05, + "loss": 0.3019, + "step": 487 + }, + { + "epoch": 0.46, + "grad_norm": 0.4785318970680237, + "learning_rate": 5.848071627816803e-05, + "loss": 0.4253, + "step": 488 + }, + { + "epoch": 0.46, + "grad_norm": 0.42927151918411255, + "learning_rate": 5.8329353329479366e-05, + "loss": 0.3504, + "step": 489 + }, + { + "epoch": 0.46, + "grad_norm": 0.3368590772151947, + "learning_rate": 5.8177911828397336e-05, + "loss": 0.2499, + "step": 490 + }, + { + "epoch": 0.47, + "grad_norm": 0.4111219048500061, + "learning_rate": 5.802639320313514e-05, + "loss": 0.3663, + "step": 491 + }, + { + "epoch": 0.47, + "grad_norm": 0.41821691393852234, + "learning_rate": 5.787479888263333e-05, + "loss": 0.3296, + "step": 492 + }, + { + "epoch": 0.47, + "grad_norm": 0.40745142102241516, + "learning_rate": 5.77231302965463e-05, + "loss": 0.2949, + "step": 493 + }, + { + "epoch": 0.47, + "grad_norm": 0.39822155237197876, + "learning_rate": 5.757138887522884e-05, + "loss": 0.2893, + "step": 494 + }, + { + "epoch": 0.47, + "grad_norm": 0.34316396713256836, + "learning_rate": 5.7419576049722646e-05, + "loss": 0.2451, + "step": 495 + }, + { + "epoch": 0.47, + "grad_norm": 0.3645155727863312, + "learning_rate": 5.7267693251742794e-05, + "loss": 0.2859, + "step": 496 + }, + { + "epoch": 0.47, + "grad_norm": 0.4316769540309906, + "learning_rate": 5.7115741913664264e-05, + "loss": 0.2947, + "step": 497 + }, + { + "epoch": 0.47, + "grad_norm": 0.4154459834098816, + "learning_rate": 5.696372346850841e-05, + "loss": 0.3844, + "step": 498 + }, + { + "epoch": 0.47, + "grad_norm": 0.40410280227661133, + "learning_rate": 5.68116393499295e-05, + "loss": 0.3262, + "step": 499 + }, + { + "epoch": 0.47, + "grad_norm": 0.352742999792099, + "learning_rate": 5.6659490992201094e-05, + "loss": 0.258, + "step": 500 + }, + { + "epoch": 0.47, + "eval_loss": 0.2935165762901306, + "eval_runtime": 370.7332, + "eval_samples_per_second": 0.92, + "eval_steps_per_second": 0.232, + "step": 500 + }, + { + "epoch": 0.47, + "grad_norm": 0.4673909544944763, + "learning_rate": 5.650727983020262e-05, + "loss": 0.4462, + "step": 501 + }, + { + "epoch": 0.48, + "grad_norm": 0.3418557643890381, + "learning_rate": 5.635500729940577e-05, + "loss": 0.2146, + "step": 502 + }, + { + "epoch": 0.48, + "grad_norm": 0.4534144997596741, + "learning_rate": 5.620267483586105e-05, + "loss": 0.3785, + "step": 503 + }, + { + "epoch": 0.48, + "grad_norm": 0.42655184864997864, + "learning_rate": 5.6050283876184116e-05, + "loss": 0.3626, + "step": 504 + }, + { + "epoch": 0.48, + "grad_norm": 0.4821220636367798, + "learning_rate": 5.5897835857542317e-05, + "loss": 0.3625, + "step": 505 + }, + { + "epoch": 0.48, + "grad_norm": 0.40257149934768677, + "learning_rate": 5.574533221764109e-05, + "loss": 0.2671, + "step": 506 + }, + { + "epoch": 0.48, + "grad_norm": 0.3685300052165985, + "learning_rate": 5.5592774394710465e-05, + "loss": 0.2824, + "step": 507 + }, + { + "epoch": 0.48, + "grad_norm": 0.4492349624633789, + "learning_rate": 5.5440163827491454e-05, + "loss": 0.2858, + "step": 508 + }, + { + "epoch": 0.48, + "grad_norm": 0.38566920161247253, + "learning_rate": 5.5287501955222444e-05, + "loss": 0.2672, + "step": 509 + }, + { + "epoch": 0.48, + "grad_norm": 0.3556060194969177, + "learning_rate": 5.513479021762572e-05, + "loss": 0.2846, + "step": 510 + }, + { + "epoch": 0.48, + "grad_norm": 0.37076959013938904, + "learning_rate": 5.4982030054893785e-05, + "loss": 0.2247, + "step": 511 + }, + { + "epoch": 0.49, + "grad_norm": 0.4032704830169678, + "learning_rate": 5.482922290767589e-05, + "loss": 0.2576, + "step": 512 + }, + { + "epoch": 0.49, + "grad_norm": 0.38813984394073486, + "learning_rate": 5.467637021706438e-05, + "loss": 0.2866, + "step": 513 + }, + { + "epoch": 0.49, + "grad_norm": 0.5001494884490967, + "learning_rate": 5.452347342458104e-05, + "loss": 0.3794, + "step": 514 + }, + { + "epoch": 0.49, + "grad_norm": 0.40518251061439514, + "learning_rate": 5.437053397216364e-05, + "loss": 0.312, + "step": 515 + }, + { + "epoch": 0.49, + "grad_norm": 0.3968459367752075, + "learning_rate": 5.4217553302152237e-05, + "loss": 0.3138, + "step": 516 + }, + { + "epoch": 0.49, + "grad_norm": 0.4698263108730316, + "learning_rate": 5.406453285727564e-05, + "loss": 0.3502, + "step": 517 + }, + { + "epoch": 0.49, + "grad_norm": 0.3987574279308319, + "learning_rate": 5.39114740806377e-05, + "loss": 0.2774, + "step": 518 + }, + { + "epoch": 0.49, + "grad_norm": 0.3404723107814789, + "learning_rate": 5.3758378415703825e-05, + "loss": 0.2421, + "step": 519 + }, + { + "epoch": 0.49, + "grad_norm": 0.47483158111572266, + "learning_rate": 5.360524730628728e-05, + "loss": 0.4053, + "step": 520 + }, + { + "epoch": 0.49, + "grad_norm": 0.4022204279899597, + "learning_rate": 5.345208219653561e-05, + "loss": 0.2897, + "step": 521 + }, + { + "epoch": 0.49, + "grad_norm": 0.4006354808807373, + "learning_rate": 5.3298884530917014e-05, + "loss": 0.3432, + "step": 522 + }, + { + "epoch": 0.5, + "grad_norm": 0.3592531979084015, + "learning_rate": 5.3145655754206714e-05, + "loss": 0.257, + "step": 523 + }, + { + "epoch": 0.5, + "grad_norm": 0.3259998857975006, + "learning_rate": 5.2992397311473316e-05, + "loss": 0.2084, + "step": 524 + }, + { + "epoch": 0.5, + "grad_norm": 0.4196920394897461, + "learning_rate": 5.2839110648065214e-05, + "loss": 0.321, + "step": 525 + }, + { + "epoch": 0.5, + "grad_norm": 0.4363613426685333, + "learning_rate": 5.2685797209596976e-05, + "loss": 0.3242, + "step": 526 + }, + { + "epoch": 0.5, + "grad_norm": 0.4313899874687195, + "learning_rate": 5.2532458441935636e-05, + "loss": 0.3146, + "step": 527 + }, + { + "epoch": 0.5, + "grad_norm": 0.44467124342918396, + "learning_rate": 5.2379095791187124e-05, + "loss": 0.3447, + "step": 528 + }, + { + "epoch": 0.5, + "grad_norm": 0.3862348794937134, + "learning_rate": 5.222571070368257e-05, + "loss": 0.2889, + "step": 529 + }, + { + "epoch": 0.5, + "grad_norm": 0.385376513004303, + "learning_rate": 5.2072304625964785e-05, + "loss": 0.269, + "step": 530 + }, + { + "epoch": 0.5, + "grad_norm": 0.3828996419906616, + "learning_rate": 5.191887900477443e-05, + "loss": 0.3413, + "step": 531 + }, + { + "epoch": 0.5, + "grad_norm": 0.3872687816619873, + "learning_rate": 5.176543528703657e-05, + "loss": 0.316, + "step": 532 + }, + { + "epoch": 0.51, + "grad_norm": 0.37200242280960083, + "learning_rate": 5.161197491984684e-05, + "loss": 0.2868, + "step": 533 + }, + { + "epoch": 0.51, + "grad_norm": 0.39529964327812195, + "learning_rate": 5.1458499350458e-05, + "loss": 0.2231, + "step": 534 + }, + { + "epoch": 0.51, + "grad_norm": 0.44413501024246216, + "learning_rate": 5.130501002626609e-05, + "loss": 0.4653, + "step": 535 + }, + { + "epoch": 0.51, + "grad_norm": 0.4013352692127228, + "learning_rate": 5.11515083947969e-05, + "loss": 0.284, + "step": 536 + }, + { + "epoch": 0.51, + "grad_norm": 0.39808186888694763, + "learning_rate": 5.099799590369231e-05, + "loss": 0.3255, + "step": 537 + }, + { + "epoch": 0.51, + "grad_norm": 0.4179256856441498, + "learning_rate": 5.084447400069655e-05, + "loss": 0.3378, + "step": 538 + }, + { + "epoch": 0.51, + "grad_norm": 0.3801272213459015, + "learning_rate": 5.069094413364272e-05, + "loss": 0.2895, + "step": 539 + }, + { + "epoch": 0.51, + "grad_norm": 0.4310075640678406, + "learning_rate": 5.053740775043892e-05, + "loss": 0.3423, + "step": 540 + }, + { + "epoch": 0.51, + "grad_norm": 0.47626036405563354, + "learning_rate": 5.038386629905475e-05, + "loss": 0.3537, + "step": 541 + }, + { + "epoch": 0.51, + "grad_norm": 0.444980651140213, + "learning_rate": 5.023032122750759e-05, + "loss": 0.339, + "step": 542 + }, + { + "epoch": 0.51, + "grad_norm": 0.363412082195282, + "learning_rate": 5.007677398384901e-05, + "loss": 0.2565, + "step": 543 + }, + { + "epoch": 0.52, + "grad_norm": 0.4025689363479614, + "learning_rate": 4.9923226016151e-05, + "loss": 0.3197, + "step": 544 + }, + { + "epoch": 0.52, + "grad_norm": 0.39782440662384033, + "learning_rate": 4.976967877249242e-05, + "loss": 0.3417, + "step": 545 + }, + { + "epoch": 0.52, + "grad_norm": 0.29611390829086304, + "learning_rate": 4.961613370094527e-05, + "loss": 0.2382, + "step": 546 + }, + { + "epoch": 0.52, + "grad_norm": 0.41448062658309937, + "learning_rate": 4.9462592249561095e-05, + "loss": 0.3523, + "step": 547 + }, + { + "epoch": 0.52, + "grad_norm": 0.3686479330062866, + "learning_rate": 4.9309055866357295e-05, + "loss": 0.2325, + "step": 548 + }, + { + "epoch": 0.52, + "grad_norm": 0.40558409690856934, + "learning_rate": 4.915552599930345e-05, + "loss": 0.3463, + "step": 549 + }, + { + "epoch": 0.52, + "grad_norm": 0.40102720260620117, + "learning_rate": 4.900200409630771e-05, + "loss": 0.2792, + "step": 550 + }, + { + "epoch": 0.52, + "grad_norm": 0.344117134809494, + "learning_rate": 4.884849160520311e-05, + "loss": 0.2309, + "step": 551 + }, + { + "epoch": 0.52, + "grad_norm": 0.4005812108516693, + "learning_rate": 4.869498997373393e-05, + "loss": 0.2918, + "step": 552 + }, + { + "epoch": 0.52, + "grad_norm": 0.4510882496833801, + "learning_rate": 4.8541500649542014e-05, + "loss": 0.3854, + "step": 553 + }, + { + "epoch": 0.52, + "grad_norm": 0.4111492931842804, + "learning_rate": 4.838802508015316e-05, + "loss": 0.3009, + "step": 554 + }, + { + "epoch": 0.53, + "grad_norm": 0.41969767212867737, + "learning_rate": 4.823456471296344e-05, + "loss": 0.2923, + "step": 555 + }, + { + "epoch": 0.53, + "grad_norm": 0.3440259099006653, + "learning_rate": 4.8081120995225574e-05, + "loss": 0.2677, + "step": 556 + }, + { + "epoch": 0.53, + "grad_norm": 0.44143709540367126, + "learning_rate": 4.792769537403523e-05, + "loss": 0.4032, + "step": 557 + }, + { + "epoch": 0.53, + "grad_norm": 0.4543381631374359, + "learning_rate": 4.777428929631743e-05, + "loss": 0.3774, + "step": 558 + }, + { + "epoch": 0.53, + "grad_norm": 0.44187963008880615, + "learning_rate": 4.762090420881289e-05, + "loss": 0.3666, + "step": 559 + }, + { + "epoch": 0.53, + "grad_norm": 0.4897536635398865, + "learning_rate": 4.746754155806437e-05, + "loss": 0.4359, + "step": 560 + }, + { + "epoch": 0.53, + "grad_norm": 0.3388974368572235, + "learning_rate": 4.731420279040303e-05, + "loss": 0.293, + "step": 561 + }, + { + "epoch": 0.53, + "grad_norm": 0.34526583552360535, + "learning_rate": 4.716088935193479e-05, + "loss": 0.1805, + "step": 562 + }, + { + "epoch": 0.53, + "grad_norm": 0.43450701236724854, + "learning_rate": 4.7007602688526695e-05, + "loss": 0.3381, + "step": 563 + }, + { + "epoch": 0.53, + "grad_norm": 0.3250710070133209, + "learning_rate": 4.6854344245793305e-05, + "loss": 0.2123, + "step": 564 + }, + { + "epoch": 0.54, + "grad_norm": 0.3698304295539856, + "learning_rate": 4.6701115469083e-05, + "loss": 0.2623, + "step": 565 + }, + { + "epoch": 0.54, + "grad_norm": 0.3884919285774231, + "learning_rate": 4.65479178034644e-05, + "loss": 0.1959, + "step": 566 + }, + { + "epoch": 0.54, + "grad_norm": 0.3933667540550232, + "learning_rate": 4.6394752693712734e-05, + "loss": 0.2888, + "step": 567 + }, + { + "epoch": 0.54, + "grad_norm": 0.4416023790836334, + "learning_rate": 4.624162158429619e-05, + "loss": 0.2658, + "step": 568 + }, + { + "epoch": 0.54, + "grad_norm": 0.4641416668891907, + "learning_rate": 4.608852591936231e-05, + "loss": 0.3646, + "step": 569 + }, + { + "epoch": 0.54, + "grad_norm": 0.4375886619091034, + "learning_rate": 4.593546714272438e-05, + "loss": 0.3381, + "step": 570 + }, + { + "epoch": 0.54, + "grad_norm": 0.4571078419685364, + "learning_rate": 4.578244669784777e-05, + "loss": 0.3569, + "step": 571 + }, + { + "epoch": 0.54, + "grad_norm": 0.3207874000072479, + "learning_rate": 4.562946602783636e-05, + "loss": 0.1999, + "step": 572 + }, + { + "epoch": 0.54, + "grad_norm": 0.49878060817718506, + "learning_rate": 4.547652657541897e-05, + "loss": 0.4471, + "step": 573 + }, + { + "epoch": 0.54, + "grad_norm": 0.41017472743988037, + "learning_rate": 4.532362978293564e-05, + "loss": 0.3663, + "step": 574 + }, + { + "epoch": 0.54, + "grad_norm": 0.35150402784347534, + "learning_rate": 4.517077709232411e-05, + "loss": 0.2319, + "step": 575 + }, + { + "epoch": 0.55, + "grad_norm": 0.49029800295829773, + "learning_rate": 4.501796994510622e-05, + "loss": 0.3865, + "step": 576 + }, + { + "epoch": 0.55, + "grad_norm": 0.2655192017555237, + "learning_rate": 4.4865209782374304e-05, + "loss": 0.1876, + "step": 577 + }, + { + "epoch": 0.55, + "grad_norm": 0.3785124719142914, + "learning_rate": 4.471249804477758e-05, + "loss": 0.2123, + "step": 578 + }, + { + "epoch": 0.55, + "grad_norm": 0.37880706787109375, + "learning_rate": 4.4559836172508565e-05, + "loss": 0.3157, + "step": 579 + }, + { + "epoch": 0.55, + "grad_norm": 0.9027198553085327, + "learning_rate": 4.4407225605289547e-05, + "loss": 0.2307, + "step": 580 + }, + { + "epoch": 0.55, + "grad_norm": 0.31004229187965393, + "learning_rate": 4.4254667782358924e-05, + "loss": 0.247, + "step": 581 + }, + { + "epoch": 0.55, + "grad_norm": 0.42295175790786743, + "learning_rate": 4.410216414245771e-05, + "loss": 0.3613, + "step": 582 + }, + { + "epoch": 0.55, + "grad_norm": 0.37426963448524475, + "learning_rate": 4.394971612381591e-05, + "loss": 0.2915, + "step": 583 + }, + { + "epoch": 0.55, + "grad_norm": 0.4083792269229889, + "learning_rate": 4.379732516413897e-05, + "loss": 0.2728, + "step": 584 + }, + { + "epoch": 0.55, + "grad_norm": 0.39929839968681335, + "learning_rate": 4.364499270059424e-05, + "loss": 0.2983, + "step": 585 + }, + { + "epoch": 0.56, + "grad_norm": 0.39979851245880127, + "learning_rate": 4.34927201697974e-05, + "loss": 0.3143, + "step": 586 + }, + { + "epoch": 0.56, + "grad_norm": 0.38498011231422424, + "learning_rate": 4.334050900779893e-05, + "loss": 0.2758, + "step": 587 + }, + { + "epoch": 0.56, + "grad_norm": 0.4555414021015167, + "learning_rate": 4.3188360650070525e-05, + "loss": 0.3462, + "step": 588 + }, + { + "epoch": 0.56, + "grad_norm": 0.35760870575904846, + "learning_rate": 4.303627653149159e-05, + "loss": 0.22, + "step": 589 + }, + { + "epoch": 0.56, + "grad_norm": 0.36845043301582336, + "learning_rate": 4.288425808633575e-05, + "loss": 0.2353, + "step": 590 + }, + { + "epoch": 0.56, + "grad_norm": 0.3949494957923889, + "learning_rate": 4.2732306748257224e-05, + "loss": 0.2841, + "step": 591 + }, + { + "epoch": 0.56, + "grad_norm": 0.3524051606655121, + "learning_rate": 4.258042395027738e-05, + "loss": 0.2303, + "step": 592 + }, + { + "epoch": 0.56, + "grad_norm": 0.4188311696052551, + "learning_rate": 4.2428611124771184e-05, + "loss": 0.2779, + "step": 593 + }, + { + "epoch": 0.56, + "grad_norm": 0.3856961131095886, + "learning_rate": 4.2276869703453724e-05, + "loss": 0.2968, + "step": 594 + }, + { + "epoch": 0.56, + "grad_norm": 0.39202168583869934, + "learning_rate": 4.21252011173667e-05, + "loss": 0.2622, + "step": 595 + }, + { + "epoch": 0.56, + "grad_norm": 0.40051335096359253, + "learning_rate": 4.1973606796864884e-05, + "loss": 0.2712, + "step": 596 + }, + { + "epoch": 0.57, + "grad_norm": 0.43389976024627686, + "learning_rate": 4.182208817160269e-05, + "loss": 0.3661, + "step": 597 + }, + { + "epoch": 0.57, + "grad_norm": 0.3527527153491974, + "learning_rate": 4.167064667052065e-05, + "loss": 0.2428, + "step": 598 + }, + { + "epoch": 0.57, + "grad_norm": 0.4219164550304413, + "learning_rate": 4.151928372183198e-05, + "loss": 0.3061, + "step": 599 + }, + { + "epoch": 0.57, + "grad_norm": 0.4185023605823517, + "learning_rate": 4.136800075300906e-05, + "loss": 0.3067, + "step": 600 + }, + { + "epoch": 0.57, + "eval_loss": 0.28891077637672424, + "eval_runtime": 361.7732, + "eval_samples_per_second": 0.943, + "eval_steps_per_second": 0.238, + "step": 600 + }, + { + "epoch": 0.57, + "grad_norm": 0.47042807936668396, + "learning_rate": 4.1216799190770006e-05, + "loss": 0.4265, + "step": 601 + }, + { + "epoch": 0.57, + "grad_norm": 0.3343164026737213, + "learning_rate": 4.1065680461065194e-05, + "loss": 0.2385, + "step": 602 + }, + { + "epoch": 0.57, + "grad_norm": 0.3730446994304657, + "learning_rate": 4.0914645989063845e-05, + "loss": 0.2809, + "step": 603 + }, + { + "epoch": 0.57, + "grad_norm": 0.4188142716884613, + "learning_rate": 4.076369719914055e-05, + "loss": 0.2773, + "step": 604 + }, + { + "epoch": 0.57, + "grad_norm": 0.5032288432121277, + "learning_rate": 4.061283551486185e-05, + "loss": 0.4581, + "step": 605 + }, + { + "epoch": 0.57, + "grad_norm": 0.4637194573879242, + "learning_rate": 4.0462062358972796e-05, + "loss": 0.4043, + "step": 606 + }, + { + "epoch": 0.58, + "grad_norm": 0.4894029200077057, + "learning_rate": 4.03113791533836e-05, + "loss": 0.4303, + "step": 607 + }, + { + "epoch": 0.58, + "grad_norm": 0.4027673006057739, + "learning_rate": 4.016078731915608e-05, + "loss": 0.2806, + "step": 608 + }, + { + "epoch": 0.58, + "grad_norm": 0.4372347295284271, + "learning_rate": 4.001028827649046e-05, + "loss": 0.3118, + "step": 609 + }, + { + "epoch": 0.58, + "grad_norm": 0.3647504448890686, + "learning_rate": 3.9859883444711794e-05, + "loss": 0.2655, + "step": 610 + }, + { + "epoch": 0.58, + "grad_norm": 0.3525468111038208, + "learning_rate": 3.970957424225666e-05, + "loss": 0.2481, + "step": 611 + }, + { + "epoch": 0.58, + "grad_norm": 0.3449767231941223, + "learning_rate": 3.955936208665979e-05, + "loss": 0.2366, + "step": 612 + }, + { + "epoch": 0.58, + "grad_norm": 0.3690239191055298, + "learning_rate": 3.940924839454066e-05, + "loss": 0.2782, + "step": 613 + }, + { + "epoch": 0.58, + "grad_norm": 0.41123005747795105, + "learning_rate": 3.925923458159023e-05, + "loss": 0.3812, + "step": 614 + }, + { + "epoch": 0.58, + "grad_norm": 0.36917823553085327, + "learning_rate": 3.9109322062557424e-05, + "loss": 0.2802, + "step": 615 + }, + { + "epoch": 0.58, + "grad_norm": 0.28429797291755676, + "learning_rate": 3.895951225123595e-05, + "loss": 0.1897, + "step": 616 + }, + { + "epoch": 0.58, + "grad_norm": 0.37444809079170227, + "learning_rate": 3.880980656045087e-05, + "loss": 0.3077, + "step": 617 + }, + { + "epoch": 0.59, + "grad_norm": 0.3328472971916199, + "learning_rate": 3.866020640204533e-05, + "loss": 0.2611, + "step": 618 + }, + { + "epoch": 0.59, + "grad_norm": 0.3674910366535187, + "learning_rate": 3.851071318686721e-05, + "loss": 0.2602, + "step": 619 + }, + { + "epoch": 0.59, + "grad_norm": 0.3362487554550171, + "learning_rate": 3.8361328324755825e-05, + "loss": 0.2294, + "step": 620 + }, + { + "epoch": 0.59, + "grad_norm": 0.4096759259700775, + "learning_rate": 3.821205322452863e-05, + "loss": 0.3413, + "step": 621 + }, + { + "epoch": 0.59, + "grad_norm": 0.4167114198207855, + "learning_rate": 3.8062889293967976e-05, + "loss": 0.4133, + "step": 622 + }, + { + "epoch": 0.59, + "grad_norm": 0.40718039870262146, + "learning_rate": 3.791383793980776e-05, + "loss": 0.3487, + "step": 623 + }, + { + "epoch": 0.59, + "grad_norm": 0.29639190435409546, + "learning_rate": 3.7764900567720196e-05, + "loss": 0.2037, + "step": 624 + }, + { + "epoch": 0.59, + "grad_norm": 0.41772112250328064, + "learning_rate": 3.761607858230257e-05, + "loss": 0.3954, + "step": 625 + }, + { + "epoch": 0.59, + "grad_norm": 0.3576328158378601, + "learning_rate": 3.746737338706397e-05, + "loss": 0.2496, + "step": 626 + }, + { + "epoch": 0.59, + "grad_norm": 0.4080166220664978, + "learning_rate": 3.7318786384412074e-05, + "loss": 0.3798, + "step": 627 + }, + { + "epoch": 0.6, + "grad_norm": 0.38553595542907715, + "learning_rate": 3.71703189756399e-05, + "loss": 0.32, + "step": 628 + }, + { + "epoch": 0.6, + "grad_norm": 0.36167973279953003, + "learning_rate": 3.70219725609126e-05, + "loss": 0.2788, + "step": 629 + }, + { + "epoch": 0.6, + "grad_norm": 0.3779031038284302, + "learning_rate": 3.6873748539254246e-05, + "loss": 0.2659, + "step": 630 + }, + { + "epoch": 0.6, + "grad_norm": 0.42400118708610535, + "learning_rate": 3.6725648308534696e-05, + "loss": 0.3887, + "step": 631 + }, + { + "epoch": 0.6, + "grad_norm": 0.3923243582248688, + "learning_rate": 3.65776732654563e-05, + "loss": 0.3409, + "step": 632 + }, + { + "epoch": 0.6, + "grad_norm": 0.39692896604537964, + "learning_rate": 3.6429824805540815e-05, + "loss": 0.3548, + "step": 633 + }, + { + "epoch": 0.6, + "grad_norm": 0.3133631944656372, + "learning_rate": 3.628210432311621e-05, + "loss": 0.2056, + "step": 634 + }, + { + "epoch": 0.6, + "grad_norm": 0.4378962814807892, + "learning_rate": 3.6134513211303556e-05, + "loss": 0.3752, + "step": 635 + }, + { + "epoch": 0.6, + "grad_norm": 0.4492775499820709, + "learning_rate": 3.598705286200382e-05, + "loss": 0.2888, + "step": 636 + }, + { + "epoch": 0.6, + "grad_norm": 0.41877108812332153, + "learning_rate": 3.58397246658848e-05, + "loss": 0.3696, + "step": 637 + }, + { + "epoch": 0.6, + "grad_norm": 0.4388618767261505, + "learning_rate": 3.5692530012367955e-05, + "loss": 0.3458, + "step": 638 + }, + { + "epoch": 0.61, + "grad_norm": 0.39103490114212036, + "learning_rate": 3.554547028961537e-05, + "loss": 0.2919, + "step": 639 + }, + { + "epoch": 0.61, + "grad_norm": 0.35321909189224243, + "learning_rate": 3.5398546884516604e-05, + "loss": 0.2159, + "step": 640 + }, + { + "epoch": 0.61, + "grad_norm": 0.40863534808158875, + "learning_rate": 3.5251761182675625e-05, + "loss": 0.3496, + "step": 641 + }, + { + "epoch": 0.61, + "grad_norm": 0.42295730113983154, + "learning_rate": 3.510511456839777e-05, + "loss": 0.3141, + "step": 642 + }, + { + "epoch": 0.61, + "grad_norm": 0.4626457393169403, + "learning_rate": 3.495860842467664e-05, + "loss": 0.3515, + "step": 643 + }, + { + "epoch": 0.61, + "grad_norm": 0.38017332553863525, + "learning_rate": 3.481224413318114e-05, + "loss": 0.3137, + "step": 644 + }, + { + "epoch": 0.61, + "grad_norm": 0.4441210925579071, + "learning_rate": 3.4666023074242356e-05, + "loss": 0.3372, + "step": 645 + }, + { + "epoch": 0.61, + "grad_norm": 0.4361349046230316, + "learning_rate": 3.4519946626840573e-05, + "loss": 0.3249, + "step": 646 + }, + { + "epoch": 0.61, + "grad_norm": 0.4044022560119629, + "learning_rate": 3.4374016168592296e-05, + "loss": 0.306, + "step": 647 + }, + { + "epoch": 0.61, + "grad_norm": 0.42988958954811096, + "learning_rate": 3.422823307573722e-05, + "loss": 0.3451, + "step": 648 + }, + { + "epoch": 0.61, + "grad_norm": 0.4294050931930542, + "learning_rate": 3.40825987231253e-05, + "loss": 0.3824, + "step": 649 + }, + { + "epoch": 0.62, + "grad_norm": 0.4360145926475525, + "learning_rate": 3.393711448420372e-05, + "loss": 0.3011, + "step": 650 + }, + { + "epoch": 0.62, + "grad_norm": 0.3989863693714142, + "learning_rate": 3.379178173100396e-05, + "loss": 0.2847, + "step": 651 + }, + { + "epoch": 0.62, + "grad_norm": 0.3406922519207001, + "learning_rate": 3.364660183412892e-05, + "loss": 0.1905, + "step": 652 + }, + { + "epoch": 0.62, + "grad_norm": 0.45024675130844116, + "learning_rate": 3.3501576162739904e-05, + "loss": 0.2829, + "step": 653 + }, + { + "epoch": 0.62, + "grad_norm": 0.38887667655944824, + "learning_rate": 3.335670608454376e-05, + "loss": 0.3417, + "step": 654 + }, + { + "epoch": 0.62, + "grad_norm": 0.3622775673866272, + "learning_rate": 3.321199296577998e-05, + "loss": 0.2042, + "step": 655 + }, + { + "epoch": 0.62, + "grad_norm": 0.41765519976615906, + "learning_rate": 3.3067438171207766e-05, + "loss": 0.3167, + "step": 656 + }, + { + "epoch": 0.62, + "grad_norm": 0.4232788681983948, + "learning_rate": 3.292304306409325e-05, + "loss": 0.3083, + "step": 657 + }, + { + "epoch": 0.62, + "grad_norm": 0.39359962940216064, + "learning_rate": 3.2778809006196564e-05, + "loss": 0.2991, + "step": 658 + }, + { + "epoch": 0.62, + "grad_norm": 0.33065277338027954, + "learning_rate": 3.263473735775899e-05, + "loss": 0.1897, + "step": 659 + }, + { + "epoch": 0.63, + "grad_norm": 0.3721403181552887, + "learning_rate": 3.249082947749019e-05, + "loss": 0.2422, + "step": 660 + }, + { + "epoch": 0.63, + "grad_norm": 0.40056538581848145, + "learning_rate": 3.234708672255538e-05, + "loss": 0.2884, + "step": 661 + }, + { + "epoch": 0.63, + "grad_norm": 0.35371360182762146, + "learning_rate": 3.220351044856247e-05, + "loss": 0.2541, + "step": 662 + }, + { + "epoch": 0.63, + "grad_norm": 0.3902556896209717, + "learning_rate": 3.206010200954935e-05, + "loss": 0.2688, + "step": 663 + }, + { + "epoch": 0.63, + "grad_norm": 0.4552339017391205, + "learning_rate": 3.191686275797107e-05, + "loss": 0.3737, + "step": 664 + }, + { + "epoch": 0.63, + "grad_norm": 0.3884057104587555, + "learning_rate": 3.177379404468715e-05, + "loss": 0.2839, + "step": 665 + }, + { + "epoch": 0.63, + "grad_norm": 0.3160427510738373, + "learning_rate": 3.163089721894876e-05, + "loss": 0.1856, + "step": 666 + }, + { + "epoch": 0.63, + "grad_norm": 0.4080512225627899, + "learning_rate": 3.148817362838606e-05, + "loss": 0.317, + "step": 667 + }, + { + "epoch": 0.63, + "grad_norm": 0.4197518229484558, + "learning_rate": 3.134562461899545e-05, + "loss": 0.3152, + "step": 668 + }, + { + "epoch": 0.63, + "grad_norm": 0.3788788914680481, + "learning_rate": 3.120325153512687e-05, + "loss": 0.2579, + "step": 669 + }, + { + "epoch": 0.63, + "grad_norm": 0.40599849820137024, + "learning_rate": 3.10610557194712e-05, + "loss": 0.2831, + "step": 670 + }, + { + "epoch": 0.64, + "grad_norm": 0.44576358795166016, + "learning_rate": 3.091903851304751e-05, + "loss": 0.4155, + "step": 671 + }, + { + "epoch": 0.64, + "grad_norm": 0.34686872363090515, + "learning_rate": 3.077720125519042e-05, + "loss": 0.2532, + "step": 672 + }, + { + "epoch": 0.64, + "grad_norm": 0.4478817880153656, + "learning_rate": 3.063554528353752e-05, + "loss": 0.3305, + "step": 673 + }, + { + "epoch": 0.64, + "grad_norm": 0.37755653262138367, + "learning_rate": 3.0494071934016737e-05, + "loss": 0.2545, + "step": 674 + }, + { + "epoch": 0.64, + "grad_norm": 0.40632200241088867, + "learning_rate": 3.03527825408337e-05, + "loss": 0.339, + "step": 675 + }, + { + "epoch": 0.64, + "grad_norm": 0.3476860225200653, + "learning_rate": 3.0211678436459212e-05, + "loss": 0.2573, + "step": 676 + }, + { + "epoch": 0.64, + "grad_norm": 0.40307381749153137, + "learning_rate": 3.0070760951616618e-05, + "loss": 0.3119, + "step": 677 + }, + { + "epoch": 0.64, + "grad_norm": 0.41007760167121887, + "learning_rate": 2.993003141526933e-05, + "loss": 0.3249, + "step": 678 + }, + { + "epoch": 0.64, + "grad_norm": 0.3331148326396942, + "learning_rate": 2.978949115460824e-05, + "loss": 0.2164, + "step": 679 + }, + { + "epoch": 0.64, + "grad_norm": 0.4161522686481476, + "learning_rate": 2.9649141495039223e-05, + "loss": 0.2686, + "step": 680 + }, + { + "epoch": 0.65, + "grad_norm": 0.38246211409568787, + "learning_rate": 2.950898376017064e-05, + "loss": 0.2848, + "step": 681 + }, + { + "epoch": 0.65, + "grad_norm": 0.3497626483440399, + "learning_rate": 2.9369019271800823e-05, + "loss": 0.2332, + "step": 682 + }, + { + "epoch": 0.65, + "grad_norm": 0.41974884271621704, + "learning_rate": 2.9229249349905684e-05, + "loss": 0.3509, + "step": 683 + }, + { + "epoch": 0.65, + "grad_norm": 0.3688376545906067, + "learning_rate": 2.908967531262618e-05, + "loss": 0.2131, + "step": 684 + }, + { + "epoch": 0.65, + "grad_norm": 0.4084636867046356, + "learning_rate": 2.895029847625595e-05, + "loss": 0.2962, + "step": 685 + }, + { + "epoch": 0.65, + "grad_norm": 0.4998319149017334, + "learning_rate": 2.8811120155228844e-05, + "loss": 0.431, + "step": 686 + }, + { + "epoch": 0.65, + "grad_norm": 0.42586615681648254, + "learning_rate": 2.8672141662106578e-05, + "loss": 0.3273, + "step": 687 + }, + { + "epoch": 0.65, + "grad_norm": 0.4223412275314331, + "learning_rate": 2.853336430756631e-05, + "loss": 0.345, + "step": 688 + }, + { + "epoch": 0.65, + "grad_norm": 0.4866025149822235, + "learning_rate": 2.8394789400388328e-05, + "loss": 0.3754, + "step": 689 + }, + { + "epoch": 0.65, + "grad_norm": 0.46881648898124695, + "learning_rate": 2.8256418247443662e-05, + "loss": 0.3044, + "step": 690 + }, + { + "epoch": 0.65, + "grad_norm": 0.3632194697856903, + "learning_rate": 2.811825215368179e-05, + "loss": 0.2588, + "step": 691 + }, + { + "epoch": 0.66, + "grad_norm": 0.44844743609428406, + "learning_rate": 2.798029242211828e-05, + "loss": 0.3665, + "step": 692 + }, + { + "epoch": 0.66, + "grad_norm": 0.40287724137306213, + "learning_rate": 2.7842540353822632e-05, + "loss": 0.2894, + "step": 693 + }, + { + "epoch": 0.66, + "grad_norm": 0.3673706352710724, + "learning_rate": 2.770499724790584e-05, + "loss": 0.263, + "step": 694 + }, + { + "epoch": 0.66, + "grad_norm": 0.41256505250930786, + "learning_rate": 2.7567664401508225e-05, + "loss": 0.3289, + "step": 695 + }, + { + "epoch": 0.66, + "grad_norm": 0.45802727341651917, + "learning_rate": 2.7430543109787222e-05, + "loss": 0.3818, + "step": 696 + }, + { + "epoch": 0.66, + "grad_norm": 0.3631078600883484, + "learning_rate": 2.729363466590511e-05, + "loss": 0.2179, + "step": 697 + }, + { + "epoch": 0.66, + "grad_norm": 0.37977662682533264, + "learning_rate": 2.7156940361016864e-05, + "loss": 0.2731, + "step": 698 + }, + { + "epoch": 0.66, + "grad_norm": 0.3976805508136749, + "learning_rate": 2.702046148425795e-05, + "loss": 0.2668, + "step": 699 + }, + { + "epoch": 0.66, + "grad_norm": 0.46016037464141846, + "learning_rate": 2.688419932273219e-05, + "loss": 0.3662, + "step": 700 + }, + { + "epoch": 0.66, + "eval_loss": 0.28551357984542847, + "eval_runtime": 366.1246, + "eval_samples_per_second": 0.931, + "eval_steps_per_second": 0.235, + "step": 700 + }, + { + "epoch": 0.66, + "grad_norm": 0.42616188526153564, + "learning_rate": 2.6748155161499567e-05, + "loss": 0.3419, + "step": 701 + }, + { + "epoch": 0.67, + "grad_norm": 0.33724236488342285, + "learning_rate": 2.6612330283564223e-05, + "loss": 0.205, + "step": 702 + }, + { + "epoch": 0.67, + "grad_norm": 0.362380713224411, + "learning_rate": 2.6476725969862227e-05, + "loss": 0.1811, + "step": 703 + }, + { + "epoch": 0.67, + "grad_norm": 0.34569138288497925, + "learning_rate": 2.634134349924956e-05, + "loss": 0.2346, + "step": 704 + }, + { + "epoch": 0.67, + "grad_norm": 0.425965279340744, + "learning_rate": 2.6206184148490066e-05, + "loss": 0.3097, + "step": 705 + }, + { + "epoch": 0.67, + "grad_norm": 0.40935182571411133, + "learning_rate": 2.6071249192243363e-05, + "loss": 0.3109, + "step": 706 + }, + { + "epoch": 0.67, + "grad_norm": 0.4438038468360901, + "learning_rate": 2.5936539903052892e-05, + "loss": 0.3451, + "step": 707 + }, + { + "epoch": 0.67, + "grad_norm": 0.4346877634525299, + "learning_rate": 2.580205755133384e-05, + "loss": 0.3923, + "step": 708 + }, + { + "epoch": 0.67, + "grad_norm": 0.44731929898262024, + "learning_rate": 2.5667803405361213e-05, + "loss": 0.3944, + "step": 709 + }, + { + "epoch": 0.67, + "grad_norm": 0.4447585940361023, + "learning_rate": 2.5533778731257824e-05, + "loss": 0.3867, + "step": 710 + }, + { + "epoch": 0.67, + "grad_norm": 0.38740718364715576, + "learning_rate": 2.5399984792982457e-05, + "loss": 0.2711, + "step": 711 + }, + { + "epoch": 0.67, + "grad_norm": 0.38787004351615906, + "learning_rate": 2.5266422852317795e-05, + "loss": 0.2978, + "step": 712 + }, + { + "epoch": 0.68, + "grad_norm": 0.4358702600002289, + "learning_rate": 2.513309416885865e-05, + "loss": 0.3553, + "step": 713 + }, + { + "epoch": 0.68, + "grad_norm": 0.4042569100856781, + "learning_rate": 2.500000000000001e-05, + "loss": 0.2557, + "step": 714 + }, + { + "epoch": 0.68, + "grad_norm": 0.409673810005188, + "learning_rate": 2.4867141600925214e-05, + "loss": 0.2907, + "step": 715 + }, + { + "epoch": 0.68, + "grad_norm": 0.4438133239746094, + "learning_rate": 2.4734520224594093e-05, + "loss": 0.3444, + "step": 716 + }, + { + "epoch": 0.68, + "grad_norm": 0.4256063401699066, + "learning_rate": 2.4602137121731195e-05, + "loss": 0.3204, + "step": 717 + }, + { + "epoch": 0.68, + "grad_norm": 0.39291906356811523, + "learning_rate": 2.44699935408139e-05, + "loss": 0.3008, + "step": 718 + }, + { + "epoch": 0.68, + "grad_norm": 0.2770516872406006, + "learning_rate": 2.433809072806081e-05, + "loss": 0.1442, + "step": 719 + }, + { + "epoch": 0.68, + "grad_norm": 0.40489858388900757, + "learning_rate": 2.4206429927419794e-05, + "loss": 0.2674, + "step": 720 + }, + { + "epoch": 0.68, + "grad_norm": 0.4332938492298126, + "learning_rate": 2.40750123805564e-05, + "loss": 0.2637, + "step": 721 + }, + { + "epoch": 0.68, + "grad_norm": 0.422156423330307, + "learning_rate": 2.3943839326842092e-05, + "loss": 0.3095, + "step": 722 + }, + { + "epoch": 0.69, + "grad_norm": 0.3582759499549866, + "learning_rate": 2.3812912003342568e-05, + "loss": 0.2502, + "step": 723 + }, + { + "epoch": 0.69, + "grad_norm": 0.4367879331111908, + "learning_rate": 2.3682231644806108e-05, + "loss": 0.3335, + "step": 724 + }, + { + "epoch": 0.69, + "grad_norm": 0.3726557493209839, + "learning_rate": 2.3551799483651894e-05, + "loss": 0.2839, + "step": 725 + }, + { + "epoch": 0.69, + "grad_norm": 0.49943849444389343, + "learning_rate": 2.342161674995843e-05, + "loss": 0.3748, + "step": 726 + }, + { + "epoch": 0.69, + "grad_norm": 0.39246371388435364, + "learning_rate": 2.3291684671451903e-05, + "loss": 0.3061, + "step": 727 + }, + { + "epoch": 0.69, + "grad_norm": 0.38669201731681824, + "learning_rate": 2.3162004473494657e-05, + "loss": 0.2495, + "step": 728 + }, + { + "epoch": 0.69, + "grad_norm": 0.37277933955192566, + "learning_rate": 2.3032577379073577e-05, + "loss": 0.305, + "step": 729 + }, + { + "epoch": 0.69, + "grad_norm": 0.373652845621109, + "learning_rate": 2.2903404608788582e-05, + "loss": 0.242, + "step": 730 + }, + { + "epoch": 0.69, + "grad_norm": 0.4035954177379608, + "learning_rate": 2.2774487380841115e-05, + "loss": 0.3202, + "step": 731 + }, + { + "epoch": 0.69, + "grad_norm": 0.41326603293418884, + "learning_rate": 2.2645826911022655e-05, + "loss": 0.3054, + "step": 732 + }, + { + "epoch": 0.69, + "grad_norm": 0.40127384662628174, + "learning_rate": 2.2517424412703252e-05, + "loss": 0.2723, + "step": 733 + }, + { + "epoch": 0.7, + "grad_norm": 0.34013038873672485, + "learning_rate": 2.2389281096820075e-05, + "loss": 0.2478, + "step": 734 + }, + { + "epoch": 0.7, + "grad_norm": 0.41174599528312683, + "learning_rate": 2.2261398171865978e-05, + "loss": 0.3147, + "step": 735 + }, + { + "epoch": 0.7, + "grad_norm": 0.3763292133808136, + "learning_rate": 2.2133776843878186e-05, + "loss": 0.2602, + "step": 736 + }, + { + "epoch": 0.7, + "grad_norm": 0.4248455762863159, + "learning_rate": 2.2006418316426775e-05, + "loss": 0.2847, + "step": 737 + }, + { + "epoch": 0.7, + "grad_norm": 0.3882761597633362, + "learning_rate": 2.187932379060348e-05, + "loss": 0.3172, + "step": 738 + }, + { + "epoch": 0.7, + "grad_norm": 0.3807338774204254, + "learning_rate": 2.1752494465010242e-05, + "loss": 0.2203, + "step": 739 + }, + { + "epoch": 0.7, + "grad_norm": 0.41011834144592285, + "learning_rate": 2.1625931535747964e-05, + "loss": 0.325, + "step": 740 + }, + { + "epoch": 0.7, + "grad_norm": 0.4191513657569885, + "learning_rate": 2.1499636196405228e-05, + "loss": 0.3497, + "step": 741 + }, + { + "epoch": 0.7, + "grad_norm": 0.41447946429252625, + "learning_rate": 2.1373609638047032e-05, + "loss": 0.2694, + "step": 742 + }, + { + "epoch": 0.7, + "grad_norm": 0.40466463565826416, + "learning_rate": 2.1247853049203543e-05, + "loss": 0.2593, + "step": 743 + }, + { + "epoch": 0.7, + "grad_norm": 0.4141696095466614, + "learning_rate": 2.112236761585892e-05, + "loss": 0.3247, + "step": 744 + }, + { + "epoch": 0.71, + "grad_norm": 0.3989594876766205, + "learning_rate": 2.09971545214401e-05, + "loss": 0.3054, + "step": 745 + }, + { + "epoch": 0.71, + "grad_norm": 0.4133450984954834, + "learning_rate": 2.087221494680563e-05, + "loss": 0.3319, + "step": 746 + }, + { + "epoch": 0.71, + "grad_norm": 0.3053062856197357, + "learning_rate": 2.074755007023461e-05, + "loss": 0.2223, + "step": 747 + }, + { + "epoch": 0.71, + "grad_norm": 0.28034481406211853, + "learning_rate": 2.0623161067415463e-05, + "loss": 0.1555, + "step": 748 + }, + { + "epoch": 0.71, + "grad_norm": 0.4164118468761444, + "learning_rate": 2.049904911143492e-05, + "loss": 0.3041, + "step": 749 + }, + { + "epoch": 0.71, + "grad_norm": 0.3929029703140259, + "learning_rate": 2.0375215372766944e-05, + "loss": 0.3018, + "step": 750 + }, + { + "epoch": 0.71, + "grad_norm": 0.4244453012943268, + "learning_rate": 2.025166101926168e-05, + "loss": 0.4086, + "step": 751 + }, + { + "epoch": 0.71, + "grad_norm": 0.33513087034225464, + "learning_rate": 2.012838721613447e-05, + "loss": 0.2147, + "step": 752 + }, + { + "epoch": 0.71, + "grad_norm": 0.432666540145874, + "learning_rate": 2.0005395125954812e-05, + "loss": 0.3837, + "step": 753 + }, + { + "epoch": 0.71, + "grad_norm": 0.3546793460845947, + "learning_rate": 1.9882685908635462e-05, + "loss": 0.2649, + "step": 754 + }, + { + "epoch": 0.72, + "grad_norm": 0.4040340781211853, + "learning_rate": 1.9760260721421426e-05, + "loss": 0.3134, + "step": 755 + }, + { + "epoch": 0.72, + "grad_norm": 0.44750577211380005, + "learning_rate": 1.963812071887913e-05, + "loss": 0.3559, + "step": 756 + }, + { + "epoch": 0.72, + "grad_norm": 0.34949734807014465, + "learning_rate": 1.951626705288544e-05, + "loss": 0.2943, + "step": 757 + }, + { + "epoch": 0.72, + "grad_norm": 0.3807576298713684, + "learning_rate": 1.9394700872616855e-05, + "loss": 0.2297, + "step": 758 + }, + { + "epoch": 0.72, + "grad_norm": 0.4196769595146179, + "learning_rate": 1.9273423324538658e-05, + "loss": 0.3513, + "step": 759 + }, + { + "epoch": 0.72, + "grad_norm": 0.3704902231693268, + "learning_rate": 1.9152435552394104e-05, + "loss": 0.2569, + "step": 760 + }, + { + "epoch": 0.72, + "grad_norm": 0.32672318816185, + "learning_rate": 1.903173869719362e-05, + "loss": 0.2352, + "step": 761 + }, + { + "epoch": 0.72, + "grad_norm": 0.345194011926651, + "learning_rate": 1.891133389720407e-05, + "loss": 0.2641, + "step": 762 + }, + { + "epoch": 0.72, + "grad_norm": 0.4048096835613251, + "learning_rate": 1.8791222287937982e-05, + "loss": 0.2948, + "step": 763 + }, + { + "epoch": 0.72, + "grad_norm": 0.36946576833724976, + "learning_rate": 1.8671405002142918e-05, + "loss": 0.2121, + "step": 764 + }, + { + "epoch": 0.72, + "grad_norm": 0.38662201166152954, + "learning_rate": 1.855188316979068e-05, + "loss": 0.3062, + "step": 765 + }, + { + "epoch": 0.73, + "grad_norm": 0.44647669792175293, + "learning_rate": 1.8432657918066732e-05, + "loss": 0.3065, + "step": 766 + }, + { + "epoch": 0.73, + "grad_norm": 0.4243049919605255, + "learning_rate": 1.831373037135955e-05, + "loss": 0.3693, + "step": 767 + }, + { + "epoch": 0.73, + "grad_norm": 0.35591912269592285, + "learning_rate": 1.8195101651250017e-05, + "loss": 0.2103, + "step": 768 + }, + { + "epoch": 0.73, + "grad_norm": 0.42392200231552124, + "learning_rate": 1.807677287650083e-05, + "loss": 0.2975, + "step": 769 + }, + { + "epoch": 0.73, + "grad_norm": 0.3883664011955261, + "learning_rate": 1.7958745163045986e-05, + "loss": 0.2916, + "step": 770 + }, + { + "epoch": 0.73, + "grad_norm": 0.47300446033477783, + "learning_rate": 1.7841019623980217e-05, + "loss": 0.3095, + "step": 771 + }, + { + "epoch": 0.73, + "grad_norm": 0.34601467847824097, + "learning_rate": 1.77235973695485e-05, + "loss": 0.2127, + "step": 772 + }, + { + "epoch": 0.73, + "grad_norm": 0.39340120553970337, + "learning_rate": 1.760647950713566e-05, + "loss": 0.3155, + "step": 773 + }, + { + "epoch": 0.73, + "grad_norm": 0.37569355964660645, + "learning_rate": 1.74896671412558e-05, + "loss": 0.254, + "step": 774 + }, + { + "epoch": 0.73, + "grad_norm": 0.4376790225505829, + "learning_rate": 1.737316137354197e-05, + "loss": 0.3762, + "step": 775 + }, + { + "epoch": 0.74, + "grad_norm": 0.3843180239200592, + "learning_rate": 1.725696330273575e-05, + "loss": 0.3154, + "step": 776 + }, + { + "epoch": 0.74, + "grad_norm": 0.3781803846359253, + "learning_rate": 1.7141074024676912e-05, + "loss": 0.2815, + "step": 777 + }, + { + "epoch": 0.74, + "grad_norm": 0.34335994720458984, + "learning_rate": 1.7025494632293048e-05, + "loss": 0.1914, + "step": 778 + }, + { + "epoch": 0.74, + "grad_norm": 0.41264262795448303, + "learning_rate": 1.6910226215589303e-05, + "loss": 0.3454, + "step": 779 + }, + { + "epoch": 0.74, + "grad_norm": 0.42045897245407104, + "learning_rate": 1.6795269861638042e-05, + "loss": 0.3402, + "step": 780 + }, + { + "epoch": 0.74, + "grad_norm": 0.38134869933128357, + "learning_rate": 1.6680626654568686e-05, + "loss": 0.2552, + "step": 781 + }, + { + "epoch": 0.74, + "grad_norm": 0.45176658034324646, + "learning_rate": 1.656629767555739e-05, + "loss": 0.3775, + "step": 782 + }, + { + "epoch": 0.74, + "grad_norm": 0.4160310924053192, + "learning_rate": 1.645228400281689e-05, + "loss": 0.2807, + "step": 783 + }, + { + "epoch": 0.74, + "grad_norm": 0.37641626596450806, + "learning_rate": 1.6338586711586356e-05, + "loss": 0.2435, + "step": 784 + }, + { + "epoch": 0.74, + "grad_norm": 0.3558084964752197, + "learning_rate": 1.6225206874121218e-05, + "loss": 0.3089, + "step": 785 + }, + { + "epoch": 0.74, + "grad_norm": 0.3629785478115082, + "learning_rate": 1.6112145559683055e-05, + "loss": 0.2732, + "step": 786 + }, + { + "epoch": 0.75, + "grad_norm": 0.4224972426891327, + "learning_rate": 1.5999403834529548e-05, + "loss": 0.3871, + "step": 787 + }, + { + "epoch": 0.75, + "grad_norm": 0.362154096364975, + "learning_rate": 1.5886982761904377e-05, + "loss": 0.2531, + "step": 788 + }, + { + "epoch": 0.75, + "grad_norm": 0.4315077066421509, + "learning_rate": 1.5774883402027208e-05, + "loss": 0.3197, + "step": 789 + }, + { + "epoch": 0.75, + "grad_norm": 0.4491424858570099, + "learning_rate": 1.5663106812083743e-05, + "loss": 0.3072, + "step": 790 + }, + { + "epoch": 0.75, + "grad_norm": 0.3408665657043457, + "learning_rate": 1.555165404621567e-05, + "loss": 0.2549, + "step": 791 + }, + { + "epoch": 0.75, + "grad_norm": 0.4255100190639496, + "learning_rate": 1.5440526155510763e-05, + "loss": 0.3725, + "step": 792 + }, + { + "epoch": 0.75, + "grad_norm": 0.4389415681362152, + "learning_rate": 1.532972418799298e-05, + "loss": 0.3652, + "step": 793 + }, + { + "epoch": 0.75, + "grad_norm": 0.42644500732421875, + "learning_rate": 1.5219249188612556e-05, + "loss": 0.2914, + "step": 794 + }, + { + "epoch": 0.75, + "grad_norm": 0.4122108519077301, + "learning_rate": 1.5109102199236152e-05, + "loss": 0.326, + "step": 795 + }, + { + "epoch": 0.75, + "grad_norm": 0.4755607843399048, + "learning_rate": 1.4999284258637053e-05, + "loss": 0.3403, + "step": 796 + }, + { + "epoch": 0.76, + "grad_norm": 0.40237653255462646, + "learning_rate": 1.488979640248534e-05, + "loss": 0.2904, + "step": 797 + }, + { + "epoch": 0.76, + "grad_norm": 0.34840846061706543, + "learning_rate": 1.4780639663338125e-05, + "loss": 0.2531, + "step": 798 + }, + { + "epoch": 0.76, + "grad_norm": 0.4074588716030121, + "learning_rate": 1.4671815070629868e-05, + "loss": 0.2274, + "step": 799 + }, + { + "epoch": 0.76, + "grad_norm": 0.3214362859725952, + "learning_rate": 1.4563323650662586e-05, + "loss": 0.1942, + "step": 800 + }, + { + "epoch": 0.76, + "eval_loss": 0.2829459607601166, + "eval_runtime": 363.763, + "eval_samples_per_second": 0.937, + "eval_steps_per_second": 0.236, + "step": 800 + }, + { + "epoch": 0.76, + "grad_norm": 0.3532373309135437, + "learning_rate": 1.4455166426596223e-05, + "loss": 0.2042, + "step": 801 + }, + { + "epoch": 0.76, + "grad_norm": 0.48360303044319153, + "learning_rate": 1.434734441843899e-05, + "loss": 0.4728, + "step": 802 + }, + { + "epoch": 0.76, + "grad_norm": 0.3731449246406555, + "learning_rate": 1.4239858643037751e-05, + "loss": 0.2899, + "step": 803 + }, + { + "epoch": 0.76, + "grad_norm": 0.3608839511871338, + "learning_rate": 1.4132710114068426e-05, + "loss": 0.2601, + "step": 804 + }, + { + "epoch": 0.76, + "grad_norm": 0.3535532057285309, + "learning_rate": 1.4025899842026442e-05, + "loss": 0.1733, + "step": 805 + }, + { + "epoch": 0.76, + "grad_norm": 0.3848244845867157, + "learning_rate": 1.3919428834217163e-05, + "loss": 0.2156, + "step": 806 + }, + { + "epoch": 0.76, + "grad_norm": 0.36804237961769104, + "learning_rate": 1.3813298094746491e-05, + "loss": 0.2363, + "step": 807 + }, + { + "epoch": 0.77, + "grad_norm": 0.34813761711120605, + "learning_rate": 1.3707508624511262e-05, + "loss": 0.2022, + "step": 808 + }, + { + "epoch": 0.77, + "grad_norm": 0.4521434009075165, + "learning_rate": 1.36020614211899e-05, + "loss": 0.3591, + "step": 809 + }, + { + "epoch": 0.77, + "grad_norm": 0.360469251871109, + "learning_rate": 1.349695747923298e-05, + "loss": 0.2504, + "step": 810 + }, + { + "epoch": 0.77, + "grad_norm": 0.35620465874671936, + "learning_rate": 1.339219778985385e-05, + "loss": 0.2724, + "step": 811 + }, + { + "epoch": 0.77, + "grad_norm": 0.4041351079940796, + "learning_rate": 1.3287783341019278e-05, + "loss": 0.2839, + "step": 812 + }, + { + "epoch": 0.77, + "grad_norm": 0.4110220670700073, + "learning_rate": 1.3183715117440142e-05, + "loss": 0.3289, + "step": 813 + }, + { + "epoch": 0.77, + "grad_norm": 0.4474922716617584, + "learning_rate": 1.3079994100562159e-05, + "loss": 0.3108, + "step": 814 + }, + { + "epoch": 0.77, + "grad_norm": 0.40211912989616394, + "learning_rate": 1.2976621268556571e-05, + "loss": 0.3196, + "step": 815 + }, + { + "epoch": 0.77, + "grad_norm": 0.37706807255744934, + "learning_rate": 1.2873597596311027e-05, + "loss": 0.2776, + "step": 816 + }, + { + "epoch": 0.77, + "grad_norm": 0.45289844274520874, + "learning_rate": 1.2770924055420258e-05, + "loss": 0.297, + "step": 817 + }, + { + "epoch": 0.78, + "grad_norm": 0.4111120104789734, + "learning_rate": 1.2668601614177017e-05, + "loss": 0.3389, + "step": 818 + }, + { + "epoch": 0.78, + "grad_norm": 0.38809487223625183, + "learning_rate": 1.2566631237562893e-05, + "loss": 0.248, + "step": 819 + }, + { + "epoch": 0.78, + "grad_norm": 0.37415727972984314, + "learning_rate": 1.246501388723923e-05, + "loss": 0.2548, + "step": 820 + }, + { + "epoch": 0.78, + "grad_norm": 0.38985398411750793, + "learning_rate": 1.2363750521538064e-05, + "loss": 0.2638, + "step": 821 + }, + { + "epoch": 0.78, + "grad_norm": 0.41149115562438965, + "learning_rate": 1.2262842095453065e-05, + "loss": 0.3716, + "step": 822 + }, + { + "epoch": 0.78, + "grad_norm": 0.4018831253051758, + "learning_rate": 1.2162289560630524e-05, + "loss": 0.2886, + "step": 823 + }, + { + "epoch": 0.78, + "grad_norm": 0.43984273076057434, + "learning_rate": 1.2062093865360458e-05, + "loss": 0.3474, + "step": 824 + }, + { + "epoch": 0.78, + "grad_norm": 0.3629956841468811, + "learning_rate": 1.1962255954567537e-05, + "loss": 0.2357, + "step": 825 + }, + { + "epoch": 0.78, + "grad_norm": 0.372852623462677, + "learning_rate": 1.1862776769802276e-05, + "loss": 0.2672, + "step": 826 + }, + { + "epoch": 0.78, + "grad_norm": 0.4188729524612427, + "learning_rate": 1.1763657249232107e-05, + "loss": 0.3281, + "step": 827 + }, + { + "epoch": 0.78, + "grad_norm": 0.33174970746040344, + "learning_rate": 1.1664898327632551e-05, + "loss": 0.237, + "step": 828 + }, + { + "epoch": 0.79, + "grad_norm": 0.4201258718967438, + "learning_rate": 1.1566500936378388e-05, + "loss": 0.337, + "step": 829 + }, + { + "epoch": 0.79, + "grad_norm": 0.49972257018089294, + "learning_rate": 1.146846600343488e-05, + "loss": 0.3505, + "step": 830 + }, + { + "epoch": 0.79, + "grad_norm": 0.458884060382843, + "learning_rate": 1.1370794453349037e-05, + "loss": 0.4045, + "step": 831 + }, + { + "epoch": 0.79, + "grad_norm": 0.5413430333137512, + "learning_rate": 1.1273487207240847e-05, + "loss": 0.2857, + "step": 832 + }, + { + "epoch": 0.79, + "grad_norm": 0.5663003921508789, + "learning_rate": 1.1176545182794674e-05, + "loss": 0.1916, + "step": 833 + }, + { + "epoch": 0.79, + "grad_norm": 0.3781757354736328, + "learning_rate": 1.1079969294250514e-05, + "loss": 0.2698, + "step": 834 + }, + { + "epoch": 0.79, + "grad_norm": 0.4103042781352997, + "learning_rate": 1.0983760452395413e-05, + "loss": 0.3254, + "step": 835 + }, + { + "epoch": 0.79, + "grad_norm": 0.4255097210407257, + "learning_rate": 1.0887919564554894e-05, + "loss": 0.3273, + "step": 836 + }, + { + "epoch": 0.79, + "grad_norm": 0.4411180913448334, + "learning_rate": 1.079244753458437e-05, + "loss": 0.3329, + "step": 837 + }, + { + "epoch": 0.79, + "grad_norm": 0.38623252511024475, + "learning_rate": 1.0697345262860636e-05, + "loss": 0.3241, + "step": 838 + }, + { + "epoch": 0.79, + "grad_norm": 0.3975672721862793, + "learning_rate": 1.0602613646273374e-05, + "loss": 0.359, + "step": 839 + }, + { + "epoch": 0.8, + "grad_norm": 0.4542789161205292, + "learning_rate": 1.0508253578216693e-05, + "loss": 0.3751, + "step": 840 + }, + { + "epoch": 0.8, + "grad_norm": 0.44021835923194885, + "learning_rate": 1.0414265948580692e-05, + "loss": 0.3188, + "step": 841 + }, + { + "epoch": 0.8, + "grad_norm": 0.42216500639915466, + "learning_rate": 1.032065164374313e-05, + "loss": 0.2518, + "step": 842 + }, + { + "epoch": 0.8, + "grad_norm": 0.3464965224266052, + "learning_rate": 1.0227411546560962e-05, + "loss": 0.2523, + "step": 843 + }, + { + "epoch": 0.8, + "grad_norm": 0.387981653213501, + "learning_rate": 1.01345465363621e-05, + "loss": 0.293, + "step": 844 + }, + { + "epoch": 0.8, + "grad_norm": 0.426349937915802, + "learning_rate": 1.0042057488937067e-05, + "loss": 0.2949, + "step": 845 + }, + { + "epoch": 0.8, + "grad_norm": 0.4316929876804352, + "learning_rate": 9.949945276530781e-06, + "loss": 0.391, + "step": 846 + }, + { + "epoch": 0.8, + "grad_norm": 0.32711362838745117, + "learning_rate": 9.858210767834292e-06, + "loss": 0.2456, + "step": 847 + }, + { + "epoch": 0.8, + "grad_norm": 0.4321954846382141, + "learning_rate": 9.766854827976617e-06, + "loss": 0.2865, + "step": 848 + }, + { + "epoch": 0.8, + "grad_norm": 0.3895399272441864, + "learning_rate": 9.675878318516546e-06, + "loss": 0.2167, + "step": 849 + }, + { + "epoch": 0.81, + "grad_norm": 0.5271614193916321, + "learning_rate": 9.58528209743459e-06, + "loss": 0.3951, + "step": 850 + }, + { + "epoch": 0.81, + "grad_norm": 0.3950306475162506, + "learning_rate": 9.495067019124792e-06, + "loss": 0.3125, + "step": 851 + }, + { + "epoch": 0.81, + "grad_norm": 0.4167860448360443, + "learning_rate": 9.405233934386726e-06, + "loss": 0.2796, + "step": 852 + }, + { + "epoch": 0.81, + "grad_norm": 0.3829375207424164, + "learning_rate": 9.315783690417479e-06, + "loss": 0.2468, + "step": 853 + }, + { + "epoch": 0.81, + "grad_norm": 0.39671874046325684, + "learning_rate": 9.226717130803636e-06, + "loss": 0.2592, + "step": 854 + }, + { + "epoch": 0.81, + "grad_norm": 0.38071882724761963, + "learning_rate": 9.138035095513336e-06, + "loss": 0.3262, + "step": 855 + }, + { + "epoch": 0.81, + "grad_norm": 0.32630348205566406, + "learning_rate": 9.049738420888349e-06, + "loss": 0.2522, + "step": 856 + }, + { + "epoch": 0.81, + "grad_norm": 0.394283652305603, + "learning_rate": 8.961827939636196e-06, + "loss": 0.2685, + "step": 857 + }, + { + "epoch": 0.81, + "grad_norm": 0.3125092089176178, + "learning_rate": 8.87430448082227e-06, + "loss": 0.1336, + "step": 858 + }, + { + "epoch": 0.81, + "grad_norm": 0.3436705768108368, + "learning_rate": 8.787168869862066e-06, + "loss": 0.2223, + "step": 859 + }, + { + "epoch": 0.81, + "grad_norm": 0.41198545694351196, + "learning_rate": 8.700421928513352e-06, + "loss": 0.3889, + "step": 860 + }, + { + "epoch": 0.82, + "grad_norm": 0.40527185797691345, + "learning_rate": 8.614064474868421e-06, + "loss": 0.2744, + "step": 861 + }, + { + "epoch": 0.82, + "grad_norm": 0.4188045561313629, + "learning_rate": 8.528097323346407e-06, + "loss": 0.3281, + "step": 862 + }, + { + "epoch": 0.82, + "grad_norm": 0.3231567442417145, + "learning_rate": 8.442521284685573e-06, + "loss": 0.1885, + "step": 863 + }, + { + "epoch": 0.82, + "grad_norm": 0.3571144640445709, + "learning_rate": 8.357337165935675e-06, + "loss": 0.2651, + "step": 864 + }, + { + "epoch": 0.82, + "grad_norm": 0.44496673345565796, + "learning_rate": 8.27254577045039e-06, + "loss": 0.3386, + "step": 865 + }, + { + "epoch": 0.82, + "grad_norm": 0.37217986583709717, + "learning_rate": 8.188147897879667e-06, + "loss": 0.2207, + "step": 866 + }, + { + "epoch": 0.82, + "grad_norm": 0.3924148678779602, + "learning_rate": 8.104144344162229e-06, + "loss": 0.2454, + "step": 867 + }, + { + "epoch": 0.82, + "grad_norm": 0.35032355785369873, + "learning_rate": 8.02053590151805e-06, + "loss": 0.2578, + "step": 868 + }, + { + "epoch": 0.82, + "grad_norm": 0.4049111008644104, + "learning_rate": 7.937323358440935e-06, + "loss": 0.262, + "step": 869 + }, + { + "epoch": 0.82, + "grad_norm": 0.31789684295654297, + "learning_rate": 7.854507499691005e-06, + "loss": 0.156, + "step": 870 + }, + { + "epoch": 0.83, + "grad_norm": 0.4001528024673462, + "learning_rate": 7.772089106287344e-06, + "loss": 0.314, + "step": 871 + }, + { + "epoch": 0.83, + "grad_norm": 0.42885470390319824, + "learning_rate": 7.690068955500624e-06, + "loss": 0.3621, + "step": 872 + }, + { + "epoch": 0.83, + "grad_norm": 0.37726956605911255, + "learning_rate": 7.608447820845771e-06, + "loss": 0.2335, + "step": 873 + }, + { + "epoch": 0.83, + "grad_norm": 0.37034162878990173, + "learning_rate": 7.527226472074678e-06, + "loss": 0.2606, + "step": 874 + }, + { + "epoch": 0.83, + "grad_norm": 0.40577173233032227, + "learning_rate": 7.446405675168938e-06, + "loss": 0.3217, + "step": 875 + }, + { + "epoch": 0.83, + "grad_norm": 0.3697319030761719, + "learning_rate": 7.365986192332625e-06, + "loss": 0.1921, + "step": 876 + }, + { + "epoch": 0.83, + "grad_norm": 0.36988091468811035, + "learning_rate": 7.285968781985092e-06, + "loss": 0.2452, + "step": 877 + }, + { + "epoch": 0.83, + "grad_norm": 0.3300369679927826, + "learning_rate": 7.206354198753862e-06, + "loss": 0.1979, + "step": 878 + }, + { + "epoch": 0.83, + "grad_norm": 0.4411529004573822, + "learning_rate": 7.127143193467445e-06, + "loss": 0.3513, + "step": 879 + }, + { + "epoch": 0.83, + "grad_norm": 0.5053805112838745, + "learning_rate": 7.048336513148307e-06, + "loss": 0.3615, + "step": 880 + }, + { + "epoch": 0.83, + "grad_norm": 0.5213754773139954, + "learning_rate": 6.969934901005809e-06, + "loss": 0.4167, + "step": 881 + }, + { + "epoch": 0.84, + "grad_norm": 0.3984251916408539, + "learning_rate": 6.8919390964291895e-06, + "loss": 0.3323, + "step": 882 + }, + { + "epoch": 0.84, + "grad_norm": 0.3953109383583069, + "learning_rate": 6.814349834980621e-06, + "loss": 0.2935, + "step": 883 + }, + { + "epoch": 0.84, + "grad_norm": 0.453165203332901, + "learning_rate": 6.7371678483882264e-06, + "loss": 0.4064, + "step": 884 + }, + { + "epoch": 0.84, + "grad_norm": 0.3721240162849426, + "learning_rate": 6.660393864539222e-06, + "loss": 0.2607, + "step": 885 + }, + { + "epoch": 0.84, + "grad_norm": 0.3390076160430908, + "learning_rate": 6.58402860747302e-06, + "loss": 0.2042, + "step": 886 + }, + { + "epoch": 0.84, + "grad_norm": 0.3938121795654297, + "learning_rate": 6.508072797374454e-06, + "loss": 0.3204, + "step": 887 + }, + { + "epoch": 0.84, + "grad_norm": 0.4577292799949646, + "learning_rate": 6.4325271505669025e-06, + "loss": 0.3225, + "step": 888 + }, + { + "epoch": 0.84, + "grad_norm": 0.418714314699173, + "learning_rate": 6.3573923795056e-06, + "loss": 0.3154, + "step": 889 + }, + { + "epoch": 0.84, + "grad_norm": 0.41570523381233215, + "learning_rate": 6.282669192770896e-06, + "loss": 0.333, + "step": 890 + }, + { + "epoch": 0.84, + "grad_norm": 0.41950684785842896, + "learning_rate": 6.208358295061572e-06, + "loss": 0.2944, + "step": 891 + }, + { + "epoch": 0.85, + "grad_norm": 0.3647615611553192, + "learning_rate": 6.134460387188206e-06, + "loss": 0.2522, + "step": 892 + }, + { + "epoch": 0.85, + "grad_norm": 0.387281209230423, + "learning_rate": 6.060976166066546e-06, + "loss": 0.2683, + "step": 893 + }, + { + "epoch": 0.85, + "grad_norm": 0.44456931948661804, + "learning_rate": 5.9879063247109405e-06, + "loss": 0.3275, + "step": 894 + }, + { + "epoch": 0.85, + "grad_norm": 0.40326932072639465, + "learning_rate": 5.915251552227829e-06, + "loss": 0.2797, + "step": 895 + }, + { + "epoch": 0.85, + "grad_norm": 0.4886815845966339, + "learning_rate": 5.8430125338092115e-06, + "loss": 0.3809, + "step": 896 + }, + { + "epoch": 0.85, + "grad_norm": 0.36966973543167114, + "learning_rate": 5.771189950726191e-06, + "loss": 0.2206, + "step": 897 + }, + { + "epoch": 0.85, + "grad_norm": 0.4477539658546448, + "learning_rate": 5.699784480322568e-06, + "loss": 0.3625, + "step": 898 + }, + { + "epoch": 0.85, + "grad_norm": 0.4014408588409424, + "learning_rate": 5.628796796008434e-06, + "loss": 0.3155, + "step": 899 + }, + { + "epoch": 0.85, + "grad_norm": 0.3876466453075409, + "learning_rate": 5.558227567253832e-06, + "loss": 0.2865, + "step": 900 + }, + { + "epoch": 0.85, + "eval_loss": 0.2800748646259308, + "eval_runtime": 363.8216, + "eval_samples_per_second": 0.937, + "eval_steps_per_second": 0.236, + "step": 900 + }, + { + "epoch": 0.85, + "grad_norm": 0.44938063621520996, + "learning_rate": 5.488077459582425e-06, + "loss": 0.3348, + "step": 901 + }, + { + "epoch": 0.85, + "grad_norm": 0.37703728675842285, + "learning_rate": 5.418347134565249e-06, + "loss": 0.2928, + "step": 902 + }, + { + "epoch": 0.86, + "grad_norm": 0.37471407651901245, + "learning_rate": 5.349037249814442e-06, + "loss": 0.2935, + "step": 903 + }, + { + "epoch": 0.86, + "grad_norm": 0.423926442861557, + "learning_rate": 5.28014845897708e-06, + "loss": 0.2895, + "step": 904 + }, + { + "epoch": 0.86, + "grad_norm": 0.45423102378845215, + "learning_rate": 5.211681411728969e-06, + "loss": 0.3126, + "step": 905 + }, + { + "epoch": 0.86, + "grad_norm": 0.37803101539611816, + "learning_rate": 5.143636753768549e-06, + "loss": 0.2372, + "step": 906 + }, + { + "epoch": 0.86, + "grad_norm": 0.3723331689834595, + "learning_rate": 5.076015126810784e-06, + "loss": 0.2958, + "step": 907 + }, + { + "epoch": 0.86, + "grad_norm": 0.3997434377670288, + "learning_rate": 5.008817168581137e-06, + "loss": 0.2758, + "step": 908 + }, + { + "epoch": 0.86, + "grad_norm": 0.41803666949272156, + "learning_rate": 4.94204351280953e-06, + "loss": 0.3124, + "step": 909 + }, + { + "epoch": 0.86, + "grad_norm": 0.42922714352607727, + "learning_rate": 4.8756947892243725e-06, + "loss": 0.3163, + "step": 910 + }, + { + "epoch": 0.86, + "grad_norm": 0.37815365195274353, + "learning_rate": 4.809771623546627e-06, + "loss": 0.217, + "step": 911 + }, + { + "epoch": 0.86, + "grad_norm": 0.333159863948822, + "learning_rate": 4.744274637483936e-06, + "loss": 0.2038, + "step": 912 + }, + { + "epoch": 0.87, + "grad_norm": 0.3474457561969757, + "learning_rate": 4.6792044487247e-06, + "loss": 0.2852, + "step": 913 + }, + { + "epoch": 0.87, + "grad_norm": 0.3912842273712158, + "learning_rate": 4.614561670932288e-06, + "loss": 0.2713, + "step": 914 + }, + { + "epoch": 0.87, + "grad_norm": 0.3732365369796753, + "learning_rate": 4.550346913739256e-06, + "loss": 0.2287, + "step": 915 + }, + { + "epoch": 0.87, + "grad_norm": 0.37471485137939453, + "learning_rate": 4.486560782741578e-06, + "loss": 0.2219, + "step": 916 + }, + { + "epoch": 0.87, + "grad_norm": 0.33144327998161316, + "learning_rate": 4.423203879492943e-06, + "loss": 0.214, + "step": 917 + }, + { + "epoch": 0.87, + "grad_norm": 0.4433518648147583, + "learning_rate": 4.360276801499086e-06, + "loss": 0.3451, + "step": 918 + }, + { + "epoch": 0.87, + "grad_norm": 0.4415975511074066, + "learning_rate": 4.29778014221216e-06, + "loss": 0.2725, + "step": 919 + }, + { + "epoch": 0.87, + "grad_norm": 0.4309133291244507, + "learning_rate": 4.2357144910251e-06, + "loss": 0.2994, + "step": 920 + }, + { + "epoch": 0.87, + "grad_norm": 0.4637148380279541, + "learning_rate": 4.174080433266136e-06, + "loss": 0.3382, + "step": 921 + }, + { + "epoch": 0.87, + "grad_norm": 0.4580986499786377, + "learning_rate": 4.112878550193194e-06, + "loss": 0.3218, + "step": 922 + }, + { + "epoch": 0.87, + "grad_norm": 0.3549492061138153, + "learning_rate": 4.05210941898847e-06, + "loss": 0.2179, + "step": 923 + }, + { + "epoch": 0.88, + "grad_norm": 0.3796776533126831, + "learning_rate": 3.991773612752952e-06, + "loss": 0.2363, + "step": 924 + }, + { + "epoch": 0.88, + "grad_norm": 0.4128180146217346, + "learning_rate": 3.9318717005010495e-06, + "loss": 0.3129, + "step": 925 + }, + { + "epoch": 0.88, + "grad_norm": 0.386189341545105, + "learning_rate": 3.872404247155193e-06, + "loss": 0.3162, + "step": 926 + }, + { + "epoch": 0.88, + "grad_norm": 0.4205312728881836, + "learning_rate": 3.8133718135405285e-06, + "loss": 0.3472, + "step": 927 + }, + { + "epoch": 0.88, + "grad_norm": 0.3960677981376648, + "learning_rate": 3.754774956379614e-06, + "loss": 0.2843, + "step": 928 + }, + { + "epoch": 0.88, + "grad_norm": 0.4133547842502594, + "learning_rate": 3.696614228287187e-06, + "loss": 0.3069, + "step": 929 + }, + { + "epoch": 0.88, + "grad_norm": 0.4363679587841034, + "learning_rate": 3.6388901777649477e-06, + "loss": 0.3128, + "step": 930 + }, + { + "epoch": 0.88, + "grad_norm": 0.4414587914943695, + "learning_rate": 3.581603349196372e-06, + "loss": 0.2882, + "step": 931 + }, + { + "epoch": 0.88, + "grad_norm": 0.46069326996803284, + "learning_rate": 3.5247542828415747e-06, + "loss": 0.3863, + "step": 932 + }, + { + "epoch": 0.88, + "grad_norm": 0.35465437173843384, + "learning_rate": 3.468343514832251e-06, + "loss": 0.229, + "step": 933 + }, + { + "epoch": 0.88, + "grad_norm": 0.3709930181503296, + "learning_rate": 3.4123715771665786e-06, + "loss": 0.2067, + "step": 934 + }, + { + "epoch": 0.89, + "grad_norm": 0.39402368664741516, + "learning_rate": 3.356838997704226e-06, + "loss": 0.3227, + "step": 935 + }, + { + "epoch": 0.89, + "grad_norm": 0.3811134397983551, + "learning_rate": 3.3017463001613626e-06, + "loss": 0.2466, + "step": 936 + }, + { + "epoch": 0.89, + "grad_norm": 0.34305959939956665, + "learning_rate": 3.2470940041057106e-06, + "loss": 0.2065, + "step": 937 + }, + { + "epoch": 0.89, + "grad_norm": 0.37376561760902405, + "learning_rate": 3.1928826249516987e-06, + "loss": 0.2088, + "step": 938 + }, + { + "epoch": 0.89, + "grad_norm": 0.42914170026779175, + "learning_rate": 3.139112673955513e-06, + "loss": 0.2844, + "step": 939 + }, + { + "epoch": 0.89, + "grad_norm": 0.39991962909698486, + "learning_rate": 3.08578465821035e-06, + "loss": 0.3008, + "step": 940 + }, + { + "epoch": 0.89, + "grad_norm": 0.3750627338886261, + "learning_rate": 3.0328990806415934e-06, + "loss": 0.2889, + "step": 941 + }, + { + "epoch": 0.89, + "grad_norm": 0.47464945912361145, + "learning_rate": 2.9804564400020994e-06, + "loss": 0.3441, + "step": 942 + }, + { + "epoch": 0.89, + "grad_norm": 0.41791674494743347, + "learning_rate": 2.9284572308674596e-06, + "loss": 0.3341, + "step": 943 + }, + { + "epoch": 0.89, + "grad_norm": 0.40713489055633545, + "learning_rate": 2.8769019436313715e-06, + "loss": 0.3142, + "step": 944 + }, + { + "epoch": 0.9, + "grad_norm": 0.36073338985443115, + "learning_rate": 2.825791064500993e-06, + "loss": 0.28, + "step": 945 + }, + { + "epoch": 0.9, + "grad_norm": 0.4595106840133667, + "learning_rate": 2.7751250754923573e-06, + "loss": 0.3045, + "step": 946 + }, + { + "epoch": 0.9, + "grad_norm": 0.39888688921928406, + "learning_rate": 2.7249044544258363e-06, + "loss": 0.3151, + "step": 947 + }, + { + "epoch": 0.9, + "grad_norm": 0.44055163860321045, + "learning_rate": 2.675129674921639e-06, + "loss": 0.4007, + "step": 948 + }, + { + "epoch": 0.9, + "grad_norm": 0.506105899810791, + "learning_rate": 2.625801206395312e-06, + "loss": 0.3858, + "step": 949 + }, + { + "epoch": 0.9, + "grad_norm": 0.3843456208705902, + "learning_rate": 2.576919514053355e-06, + "loss": 0.2618, + "step": 950 + }, + { + "epoch": 0.9, + "grad_norm": 0.4758426249027252, + "learning_rate": 2.528485058888813e-06, + "loss": 0.3758, + "step": 951 + }, + { + "epoch": 0.9, + "grad_norm": 0.40591248869895935, + "learning_rate": 2.48049829767692e-06, + "loss": 0.327, + "step": 952 + }, + { + "epoch": 0.9, + "grad_norm": 0.4928969442844391, + "learning_rate": 2.4329596829708144e-06, + "loss": 0.4, + "step": 953 + }, + { + "epoch": 0.9, + "grad_norm": 0.3787176012992859, + "learning_rate": 2.385869663097251e-06, + "loss": 0.2855, + "step": 954 + }, + { + "epoch": 0.9, + "grad_norm": 0.4510795772075653, + "learning_rate": 2.3392286821523724e-06, + "loss": 0.3499, + "step": 955 + }, + { + "epoch": 0.91, + "grad_norm": 0.3751595616340637, + "learning_rate": 2.2930371799975594e-06, + "loss": 0.2166, + "step": 956 + }, + { + "epoch": 0.91, + "grad_norm": 0.3744955062866211, + "learning_rate": 2.2472955922552163e-06, + "loss": 0.2498, + "step": 957 + }, + { + "epoch": 0.91, + "grad_norm": 0.42327001690864563, + "learning_rate": 2.202004350304715e-06, + "loss": 0.3506, + "step": 958 + }, + { + "epoch": 0.91, + "grad_norm": 0.4099956452846527, + "learning_rate": 2.157163881278312e-06, + "loss": 0.3139, + "step": 959 + }, + { + "epoch": 0.91, + "grad_norm": 0.3939151167869568, + "learning_rate": 2.112774608057111e-06, + "loss": 0.2937, + "step": 960 + }, + { + "epoch": 0.91, + "grad_norm": 0.4438505172729492, + "learning_rate": 2.068836949267089e-06, + "loss": 0.3383, + "step": 961 + }, + { + "epoch": 0.91, + "grad_norm": 0.4137350022792816, + "learning_rate": 2.0253513192751373e-06, + "loss": 0.276, + "step": 962 + }, + { + "epoch": 0.91, + "grad_norm": 0.39033421874046326, + "learning_rate": 1.982318128185151e-06, + "loss": 0.2942, + "step": 963 + }, + { + "epoch": 0.91, + "grad_norm": 0.42454180121421814, + "learning_rate": 1.9397377818341944e-06, + "loss": 0.3121, + "step": 964 + }, + { + "epoch": 0.91, + "grad_norm": 0.44790568947792053, + "learning_rate": 1.8976106817886196e-06, + "loss": 0.3663, + "step": 965 + }, + { + "epoch": 0.92, + "grad_norm": 0.4456357955932617, + "learning_rate": 1.855937225340315e-06, + "loss": 0.3028, + "step": 966 + }, + { + "epoch": 0.92, + "grad_norm": 0.3860545754432678, + "learning_rate": 1.8147178055029579e-06, + "loss": 0.269, + "step": 967 + }, + { + "epoch": 0.92, + "grad_norm": 0.33939704298973083, + "learning_rate": 1.7739528110083004e-06, + "loss": 0.2498, + "step": 968 + }, + { + "epoch": 0.92, + "grad_norm": 0.41515877842903137, + "learning_rate": 1.7336426263024897e-06, + "loss": 0.3072, + "step": 969 + }, + { + "epoch": 0.92, + "grad_norm": 0.3300078809261322, + "learning_rate": 1.6937876315424705e-06, + "loss": 0.1976, + "step": 970 + }, + { + "epoch": 0.92, + "grad_norm": 0.3762941360473633, + "learning_rate": 1.6543882025923886e-06, + "loss": 0.2688, + "step": 971 + }, + { + "epoch": 0.92, + "grad_norm": 0.4427281320095062, + "learning_rate": 1.6154447110200255e-06, + "loss": 0.3461, + "step": 972 + }, + { + "epoch": 0.92, + "grad_norm": 0.3941108286380768, + "learning_rate": 1.5769575240933422e-06, + "loss": 0.2212, + "step": 973 + }, + { + "epoch": 0.92, + "grad_norm": 0.5374137163162231, + "learning_rate": 1.5389270047769578e-06, + "loss": 0.4852, + "step": 974 + }, + { + "epoch": 0.92, + "grad_norm": 0.39923667907714844, + "learning_rate": 1.5013535117287647e-06, + "loss": 0.2986, + "step": 975 + }, + { + "epoch": 0.92, + "grad_norm": 0.34776413440704346, + "learning_rate": 1.4642373992965364e-06, + "loss": 0.1985, + "step": 976 + }, + { + "epoch": 0.93, + "grad_norm": 0.3739027678966522, + "learning_rate": 1.4275790175145908e-06, + "loss": 0.226, + "step": 977 + }, + { + "epoch": 0.93, + "grad_norm": 0.36304882168769836, + "learning_rate": 1.3913787121004719e-06, + "loss": 0.2485, + "step": 978 + }, + { + "epoch": 0.93, + "grad_norm": 0.4300604462623596, + "learning_rate": 1.3556368244517114e-06, + "loss": 0.3087, + "step": 979 + }, + { + "epoch": 0.93, + "grad_norm": 0.3972741663455963, + "learning_rate": 1.3203536916425841e-06, + "loss": 0.2795, + "step": 980 + }, + { + "epoch": 0.93, + "grad_norm": 0.40066105127334595, + "learning_rate": 1.2855296464209688e-06, + "loss": 0.3039, + "step": 981 + }, + { + "epoch": 0.93, + "grad_norm": 0.4563113749027252, + "learning_rate": 1.2511650172051637e-06, + "loss": 0.4195, + "step": 982 + }, + { + "epoch": 0.93, + "grad_norm": 0.3806251883506775, + "learning_rate": 1.217260128080816e-06, + "loss": 0.2886, + "step": 983 + }, + { + "epoch": 0.93, + "grad_norm": 0.38023003935813904, + "learning_rate": 1.1838152987978578e-06, + "loss": 0.2814, + "step": 984 + }, + { + "epoch": 0.93, + "grad_norm": 0.4246285855770111, + "learning_rate": 1.1508308447674975e-06, + "loss": 0.2958, + "step": 985 + }, + { + "epoch": 0.93, + "grad_norm": 0.395789235830307, + "learning_rate": 1.1183070770592441e-06, + "loss": 0.2894, + "step": 986 + }, + { + "epoch": 0.94, + "grad_norm": 0.3676890432834625, + "learning_rate": 1.0862443023979651e-06, + "loss": 0.2567, + "step": 987 + }, + { + "epoch": 0.94, + "grad_norm": 0.3309171795845032, + "learning_rate": 1.0546428231609895e-06, + "loss": 0.2288, + "step": 988 + }, + { + "epoch": 0.94, + "grad_norm": 0.5018779635429382, + "learning_rate": 1.0235029373752758e-06, + "loss": 0.3949, + "step": 989 + }, + { + "epoch": 0.94, + "grad_norm": 0.392005980014801, + "learning_rate": 9.928249387145982e-07, + "loss": 0.2627, + "step": 990 + }, + { + "epoch": 0.94, + "grad_norm": 0.37266385555267334, + "learning_rate": 9.6260911649676e-07, + "loss": 0.2115, + "step": 991 + }, + { + "epoch": 0.94, + "grad_norm": 0.35400834679603577, + "learning_rate": 9.32855755680867e-07, + "loss": 0.2217, + "step": 992 + }, + { + "epoch": 0.94, + "grad_norm": 0.3872481882572174, + "learning_rate": 9.035651368646648e-07, + "loss": 0.3084, + "step": 993 + }, + { + "epoch": 0.94, + "grad_norm": 0.497378408908844, + "learning_rate": 8.747375362818666e-07, + "loss": 0.4101, + "step": 994 + }, + { + "epoch": 0.94, + "grad_norm": 0.43928062915802, + "learning_rate": 8.463732257995571e-07, + "loss": 0.3203, + "step": 995 + }, + { + "epoch": 0.94, + "grad_norm": 0.31176984310150146, + "learning_rate": 8.184724729156379e-07, + "loss": 0.2082, + "step": 996 + }, + { + "epoch": 0.94, + "grad_norm": 0.4319514334201813, + "learning_rate": 7.910355407562742e-07, + "loss": 0.2952, + "step": 997 + }, + { + "epoch": 0.95, + "grad_norm": 0.4082161486148834, + "learning_rate": 7.640626880734581e-07, + "loss": 0.2191, + "step": 998 + }, + { + "epoch": 0.95, + "grad_norm": 0.3197343945503235, + "learning_rate": 7.375541692425326e-07, + "loss": 0.2167, + "step": 999 + }, + { + "epoch": 0.95, + "grad_norm": 0.433448851108551, + "learning_rate": 7.115102342598101e-07, + "loss": 0.3335, + "step": 1000 + }, + { + "epoch": 0.95, + "eval_loss": 0.2786545753479004, + "eval_runtime": 360.7934, + "eval_samples_per_second": 0.945, + "eval_steps_per_second": 0.238, + "step": 1000 + }, + { + "epoch": 0.95, + "grad_norm": 0.4050236642360687, + "learning_rate": 6.859311287402081e-07, + "loss": 0.2476, + "step": 1001 + }, + { + "epoch": 0.95, + "grad_norm": 0.32928723096847534, + "learning_rate": 6.608170939149283e-07, + "loss": 0.1961, + "step": 1002 + }, + { + "epoch": 0.95, + "grad_norm": 0.4043203592300415, + "learning_rate": 6.361683666291973e-07, + "loss": 0.3263, + "step": 1003 + }, + { + "epoch": 0.95, + "grad_norm": 0.47581639885902405, + "learning_rate": 6.119851793400189e-07, + "loss": 0.3081, + "step": 1004 + }, + { + "epoch": 0.95, + "grad_norm": 0.4158116281032562, + "learning_rate": 5.882677601139919e-07, + "loss": 0.2632, + "step": 1005 + }, + { + "epoch": 0.95, + "grad_norm": 0.41737163066864014, + "learning_rate": 5.650163326251345e-07, + "loss": 0.2575, + "step": 1006 + }, + { + "epoch": 0.95, + "grad_norm": 0.485889732837677, + "learning_rate": 5.422311161528193e-07, + "loss": 0.3773, + "step": 1007 + }, + { + "epoch": 0.96, + "grad_norm": 0.4189164936542511, + "learning_rate": 5.199123255796634e-07, + "loss": 0.2623, + "step": 1008 + }, + { + "epoch": 0.96, + "grad_norm": 0.31727853417396545, + "learning_rate": 4.980601713895305e-07, + "loss": 0.172, + "step": 1009 + }, + { + "epoch": 0.96, + "grad_norm": 0.4250466823577881, + "learning_rate": 4.7667485966552685e-07, + "loss": 0.2423, + "step": 1010 + }, + { + "epoch": 0.96, + "grad_norm": 0.3881832957267761, + "learning_rate": 4.55756592088058e-07, + "loss": 0.3309, + "step": 1011 + }, + { + "epoch": 0.96, + "grad_norm": 0.4162770211696625, + "learning_rate": 4.353055659329419e-07, + "loss": 0.3784, + "step": 1012 + }, + { + "epoch": 0.96, + "grad_norm": 0.4592972695827484, + "learning_rate": 4.153219740695435e-07, + "loss": 0.3823, + "step": 1013 + }, + { + "epoch": 0.96, + "grad_norm": 0.4741443991661072, + "learning_rate": 3.958060049589485e-07, + "loss": 0.3563, + "step": 1014 + }, + { + "epoch": 0.96, + "grad_norm": 0.3570055365562439, + "learning_rate": 3.767578426521923e-07, + "loss": 0.2459, + "step": 1015 + }, + { + "epoch": 0.96, + "grad_norm": 0.3500770032405853, + "learning_rate": 3.5817766678850615e-07, + "loss": 0.2512, + "step": 1016 + }, + { + "epoch": 0.96, + "grad_norm": 0.351227730512619, + "learning_rate": 3.4006565259366295e-07, + "loss": 0.2494, + "step": 1017 + }, + { + "epoch": 0.96, + "grad_norm": 0.3954888880252838, + "learning_rate": 3.224219708782894e-07, + "loss": 0.2872, + "step": 1018 + }, + { + "epoch": 0.97, + "grad_norm": 0.45764344930648804, + "learning_rate": 3.052467880362675e-07, + "loss": 0.3956, + "step": 1019 + }, + { + "epoch": 0.97, + "grad_norm": 0.394677996635437, + "learning_rate": 2.88540266043158e-07, + "loss": 0.3036, + "step": 1020 + }, + { + "epoch": 0.97, + "grad_norm": 0.41744089126586914, + "learning_rate": 2.723025624546849e-07, + "loss": 0.3311, + "step": 1021 + }, + { + "epoch": 0.97, + "grad_norm": 0.37757179141044617, + "learning_rate": 2.5653383040524227e-07, + "loss": 0.311, + "step": 1022 + }, + { + "epoch": 0.97, + "grad_norm": 0.4209496080875397, + "learning_rate": 2.412342186064565e-07, + "loss": 0.2342, + "step": 1023 + }, + { + "epoch": 0.97, + "grad_norm": 0.41492438316345215, + "learning_rate": 2.2640387134577058e-07, + "loss": 0.3602, + "step": 1024 + }, + { + "epoch": 0.97, + "grad_norm": 0.3416643738746643, + "learning_rate": 2.1204292848509555e-07, + "loss": 0.2367, + "step": 1025 + }, + { + "epoch": 0.97, + "grad_norm": 0.4362007975578308, + "learning_rate": 1.98151525459489e-07, + "loss": 0.2689, + "step": 1026 + }, + { + "epoch": 0.97, + "grad_norm": 0.341298907995224, + "learning_rate": 1.8472979327587292e-07, + "loss": 0.21, + "step": 1027 + }, + { + "epoch": 0.97, + "grad_norm": 0.4322044551372528, + "learning_rate": 1.717778585118013e-07, + "loss": 0.3413, + "step": 1028 + }, + { + "epoch": 0.98, + "grad_norm": 0.39564454555511475, + "learning_rate": 1.5929584331427216e-07, + "loss": 0.3038, + "step": 1029 + }, + { + "epoch": 0.98, + "grad_norm": 0.5081477761268616, + "learning_rate": 1.4728386539856754e-07, + "loss": 0.3507, + "step": 1030 + }, + { + "epoch": 0.98, + "grad_norm": 0.44406288862228394, + "learning_rate": 1.3574203804713747e-07, + "loss": 0.4077, + "step": 1031 + }, + { + "epoch": 0.98, + "grad_norm": 0.3900183439254761, + "learning_rate": 1.246704701085566e-07, + "loss": 0.2743, + "step": 1032 + }, + { + "epoch": 0.98, + "grad_norm": 0.3891497254371643, + "learning_rate": 1.1406926599646373e-07, + "loss": 0.2778, + "step": 1033 + }, + { + "epoch": 0.98, + "grad_norm": 0.3727441430091858, + "learning_rate": 1.0393852568860719e-07, + "loss": 0.2349, + "step": 1034 + }, + { + "epoch": 0.98, + "grad_norm": 0.28589460253715515, + "learning_rate": 9.427834472588992e-08, + "loss": 0.145, + "step": 1035 + }, + { + "epoch": 0.98, + "grad_norm": 0.41049668192863464, + "learning_rate": 8.508881421145365e-08, + "loss": 0.2638, + "step": 1036 + }, + { + "epoch": 0.98, + "grad_norm": 0.3703855574131012, + "learning_rate": 7.637002080985168e-08, + "loss": 0.2358, + "step": 1037 + }, + { + "epoch": 0.98, + "grad_norm": 0.41987836360931396, + "learning_rate": 6.812204674619959e-08, + "loss": 0.3283, + "step": 1038 + }, + { + "epoch": 0.98, + "grad_norm": 0.3911339342594147, + "learning_rate": 6.034496980542037e-08, + "loss": 0.2811, + "step": 1039 + }, + { + "epoch": 0.99, + "grad_norm": 0.3822670578956604, + "learning_rate": 5.303886333151153e-08, + "loss": 0.2701, + "step": 1040 + }, + { + "epoch": 0.99, + "grad_norm": 0.3765828311443329, + "learning_rate": 4.620379622682358e-08, + "loss": 0.2665, + "step": 1041 + }, + { + "epoch": 0.99, + "grad_norm": 0.362557590007782, + "learning_rate": 3.9839832951465986e-08, + "loss": 0.2462, + "step": 1042 + }, + { + "epoch": 0.99, + "grad_norm": 0.3730635344982147, + "learning_rate": 3.394703352263551e-08, + "loss": 0.2676, + "step": 1043 + }, + { + "epoch": 0.99, + "grad_norm": 0.4196093678474426, + "learning_rate": 2.8525453514099965e-08, + "loss": 0.3338, + "step": 1044 + }, + { + "epoch": 0.99, + "grad_norm": 0.359421968460083, + "learning_rate": 2.3575144055643094e-08, + "loss": 0.1959, + "step": 1045 + }, + { + "epoch": 0.99, + "grad_norm": 0.3653644323348999, + "learning_rate": 1.9096151832609375e-08, + "loss": 0.2419, + "step": 1046 + }, + { + "epoch": 0.99, + "grad_norm": 0.38383719325065613, + "learning_rate": 1.5088519085437734e-08, + "loss": 0.2995, + "step": 1047 + }, + { + "epoch": 0.99, + "grad_norm": 0.36653193831443787, + "learning_rate": 1.1552283609272962e-08, + "loss": 0.2261, + "step": 1048 + }, + { + "epoch": 0.99, + "grad_norm": 0.38996705412864685, + "learning_rate": 8.487478753615997e-09, + "loss": 0.3316, + "step": 1049 + }, + { + "epoch": 0.99, + "grad_norm": 0.4443221092224121, + "learning_rate": 5.894133422001957e-09, + "loss": 0.3662, + "step": 1050 + }, + { + "epoch": 1.0, + "grad_norm": 0.33084529638290405, + "learning_rate": 3.772272071722593e-09, + "loss": 0.2281, + "step": 1051 + }, + { + "epoch": 1.0, + "grad_norm": 0.3955950140953064, + "learning_rate": 2.1219147136264382e-09, + "loss": 0.2675, + "step": 1052 + }, + { + "epoch": 1.0, + "grad_norm": 0.4168340265750885, + "learning_rate": 9.43076911874563e-10, + "loss": 0.3497, + "step": 1053 + }, + { + "epoch": 1.0, + "grad_norm": 0.43389514088630676, + "learning_rate": 2.3576978384065584e-10, + "loss": 0.3197, + "step": 1054 + }, + { + "epoch": 1.0, + "grad_norm": 0.36339259147644043, + "learning_rate": 0.0, + "loss": 0.2589, + "step": 1055 + }, + { + "epoch": 1.0, + "step": 1055, + "total_flos": 1.1584683941193318e+17, + "train_loss": 0.31111926025406444, + "train_runtime": 56574.5112, + "train_samples_per_second": 0.597, + "train_steps_per_second": 0.019 + } + ], + "logging_steps": 1.0, + "max_steps": 1055, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 100, + "total_flos": 1.1584683941193318e+17, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}