dima806's picture
Upload folder using huggingface_hub
e94a36d verified
raw
history blame contribute delete
No virus
3.43 kB
{
"best_metric": 0.4501824975013733,
"best_model_checkpoint": "weather_types_image_detection/checkpoint-1500",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 1500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.9539184952978056,
"eval_loss": 0.5098884701728821,
"eval_runtime": 39.2951,
"eval_samples_per_second": 81.181,
"eval_steps_per_second": 2.545,
"step": 150
},
{
"epoch": 2.0,
"eval_accuracy": 0.9570532915360501,
"eval_loss": 0.4949048161506653,
"eval_runtime": 39.4441,
"eval_samples_per_second": 80.874,
"eval_steps_per_second": 2.535,
"step": 300
},
{
"epoch": 3.0,
"eval_accuracy": 0.9561128526645768,
"eval_loss": 0.4842975437641144,
"eval_runtime": 39.3465,
"eval_samples_per_second": 81.074,
"eval_steps_per_second": 2.542,
"step": 450
},
{
"epoch": 3.33,
"grad_norm": 1.1265023946762085,
"learning_rate": 6.896551724137931e-07,
"loss": 0.4721,
"step": 500
},
{
"epoch": 4.0,
"eval_accuracy": 0.9567398119122257,
"eval_loss": 0.4747663140296936,
"eval_runtime": 39.5346,
"eval_samples_per_second": 80.689,
"eval_steps_per_second": 2.529,
"step": 600
},
{
"epoch": 5.0,
"eval_accuracy": 0.9573667711598746,
"eval_loss": 0.4668954908847809,
"eval_runtime": 39.8389,
"eval_samples_per_second": 80.072,
"eval_steps_per_second": 2.51,
"step": 750
},
{
"epoch": 6.0,
"eval_accuracy": 0.9586206896551724,
"eval_loss": 0.46064332127571106,
"eval_runtime": 39.6385,
"eval_samples_per_second": 80.477,
"eval_steps_per_second": 2.523,
"step": 900
},
{
"epoch": 6.67,
"grad_norm": 1.8112839460372925,
"learning_rate": 3.4482758620689656e-07,
"loss": 0.4345,
"step": 1000
},
{
"epoch": 7.0,
"eval_accuracy": 0.958307210031348,
"eval_loss": 0.45618754625320435,
"eval_runtime": 40.2114,
"eval_samples_per_second": 79.331,
"eval_steps_per_second": 2.487,
"step": 1050
},
{
"epoch": 8.0,
"eval_accuracy": 0.9586206896551724,
"eval_loss": 0.4524807333946228,
"eval_runtime": 39.5729,
"eval_samples_per_second": 80.611,
"eval_steps_per_second": 2.527,
"step": 1200
},
{
"epoch": 9.0,
"eval_accuracy": 0.958307210031348,
"eval_loss": 0.45089176297187805,
"eval_runtime": 39.3148,
"eval_samples_per_second": 81.14,
"eval_steps_per_second": 2.544,
"step": 1350
},
{
"epoch": 10.0,
"grad_norm": 2.30012845993042,
"learning_rate": 0.0,
"loss": 0.4159,
"step": 1500
},
{
"epoch": 10.0,
"eval_accuracy": 0.958307210031348,
"eval_loss": 0.4501824975013733,
"eval_runtime": 39.2529,
"eval_samples_per_second": 81.268,
"eval_steps_per_second": 2.548,
"step": 1500
}
],
"logging_steps": 500,
"max_steps": 1500,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 7.416581610138624e+18,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}