jfranklin-foundry's picture
Upload folder using huggingface_hub
1794980 verified
raw
history blame contribute delete
No virus
5.81 kB
{
"best_metric": 0.8851989507675171,
"best_model_checkpoint": "outputs/checkpoint-185",
"epoch": 8.982456140350877,
"eval_steps": 500,
"global_step": 416,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.4318488529014845,
"grad_norm": 0.5840024948120117,
"learning_rate": 4e-05,
"loss": 1.9547,
"step": 20
},
{
"epoch": 0.863697705802969,
"grad_norm": 0.4871944487094879,
"learning_rate": 8e-05,
"loss": 1.8203,
"step": 40
},
{
"epoch": 0.9932523616734144,
"eval_loss": 1.5045615434646606,
"eval_runtime": 13.3054,
"eval_samples_per_second": 27.959,
"eval_steps_per_second": 3.532,
"step": 46
},
{
"epoch": 1.2955465587044535,
"grad_norm": 0.6788378953933716,
"learning_rate": 0.00012,
"loss": 1.6913,
"step": 60
},
{
"epoch": 1.7273954116059378,
"grad_norm": 0.8430602550506592,
"learning_rate": 0.00016,
"loss": 1.4654,
"step": 80
},
{
"epoch": 1.9865047233468287,
"eval_loss": 1.10453200340271,
"eval_runtime": 13.2625,
"eval_samples_per_second": 28.049,
"eval_steps_per_second": 3.544,
"step": 92
},
{
"epoch": 2.1592442645074224,
"grad_norm": 1.1823046207427979,
"learning_rate": 0.0002,
"loss": 1.3454,
"step": 100
},
{
"epoch": 2.591093117408907,
"grad_norm": 1.2263983488082886,
"learning_rate": 0.00019957591414302984,
"loss": 1.1674,
"step": 120
},
{
"epoch": 2.979757085020243,
"eval_loss": 0.9334564208984375,
"eval_runtime": 13.257,
"eval_samples_per_second": 28.061,
"eval_steps_per_second": 3.545,
"step": 138
},
{
"epoch": 3.0229419703103915,
"grad_norm": 1.068957805633545,
"learning_rate": 0.00019830725354840089,
"loss": 1.1417,
"step": 140
},
{
"epoch": 3.454790823211876,
"grad_norm": 1.226943850517273,
"learning_rate": 0.00019620477863642276,
"loss": 0.9287,
"step": 160
},
{
"epoch": 3.8866396761133606,
"grad_norm": 0.9932326674461365,
"learning_rate": 0.00019328632200459156,
"loss": 0.9289,
"step": 180
},
{
"epoch": 3.9946018893387314,
"eval_loss": 0.8851989507675171,
"eval_runtime": 13.2564,
"eval_samples_per_second": 28.062,
"eval_steps_per_second": 3.545,
"step": 185
},
{
"epoch": 4.318488529014845,
"grad_norm": 1.303941011428833,
"learning_rate": 0.00018957663717654208,
"loss": 0.7678,
"step": 200
},
{
"epoch": 4.75033738191633,
"grad_norm": 1.4492546319961548,
"learning_rate": 0.0001851071886496621,
"loss": 0.7871,
"step": 220
},
{
"epoch": 4.987854251012146,
"eval_loss": 0.8959786891937256,
"eval_runtime": 13.2594,
"eval_samples_per_second": 28.055,
"eval_steps_per_second": 3.545,
"step": 231
},
{
"epoch": 5.182186234817814,
"grad_norm": 1.1834120750427246,
"learning_rate": 0.0001799158850221259,
"loss": 0.7191,
"step": 240
},
{
"epoch": 5.614035087719298,
"grad_norm": 1.1505727767944336,
"learning_rate": 0.00017404675746288687,
"loss": 0.6127,
"step": 260
},
{
"epoch": 5.98110661268556,
"eval_loss": 0.9636960625648499,
"eval_runtime": 13.2504,
"eval_samples_per_second": 28.075,
"eval_steps_per_second": 3.547,
"step": 277
},
{
"epoch": 6.045883940620783,
"grad_norm": 0.9700413346290588,
"learning_rate": 0.00016754958625175758,
"loss": 0.5765,
"step": 280
},
{
"epoch": 6.477732793522267,
"grad_norm": 1.064491868019104,
"learning_rate": 0.00016047947855715714,
"loss": 0.4534,
"step": 300
},
{
"epoch": 6.909581646423752,
"grad_norm": 1.1159394979476929,
"learning_rate": 0.00015289640103269625,
"loss": 0.5077,
"step": 320
},
{
"epoch": 6.995951417004049,
"eval_loss": 1.0732767581939697,
"eval_runtime": 13.2691,
"eval_samples_per_second": 28.035,
"eval_steps_per_second": 3.542,
"step": 324
},
{
"epoch": 7.341430499325236,
"grad_norm": 1.0435690879821777,
"learning_rate": 0.00014486467119698357,
"loss": 0.3868,
"step": 340
},
{
"epoch": 7.77327935222672,
"grad_norm": 1.2058143615722656,
"learning_rate": 0.0001364524119106257,
"loss": 0.4055,
"step": 360
},
{
"epoch": 7.989203778677463,
"eval_loss": 1.1590379476547241,
"eval_runtime": 13.2669,
"eval_samples_per_second": 28.04,
"eval_steps_per_second": 3.543,
"step": 370
},
{
"epoch": 8.205128205128204,
"grad_norm": 1.1939080953598022,
"learning_rate": 0.00012773097357739288,
"loss": 0.3305,
"step": 380
},
{
"epoch": 8.63697705802969,
"grad_norm": 1.2853295803070068,
"learning_rate": 0.00011877432897027637,
"loss": 0.2833,
"step": 400
},
{
"epoch": 8.982456140350877,
"eval_loss": 1.2504498958587646,
"eval_runtime": 13.2621,
"eval_samples_per_second": 28.05,
"eval_steps_per_second": 3.544,
"step": 416
}
],
"logging_steps": 20,
"max_steps": 782,
"num_input_tokens_seen": 0,
"num_train_epochs": 17,
"save_steps": 500,
"total_flos": 3.20770960155648e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}