dima806's picture
Upload folder using huggingface_hub
e35652b
raw
history blame
3.46 kB
{
"best_metric": 0.20479127764701843,
"best_model_checkpoint": "medicinal_plants_image_detection/checkpoint-2230",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 2230,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.9938271604938271,
"eval_loss": 0.2496471256017685,
"eval_runtime": 46.3305,
"eval_samples_per_second": 38.463,
"eval_steps_per_second": 4.813,
"step": 223
},
{
"epoch": 2.0,
"eval_accuracy": 0.9943883277216611,
"eval_loss": 0.23750481009483337,
"eval_runtime": 45.8824,
"eval_samples_per_second": 38.838,
"eval_steps_per_second": 4.86,
"step": 446
},
{
"epoch": 2.24,
"learning_rate": 1.5871559633027523e-06,
"loss": 0.2441,
"step": 500
},
{
"epoch": 3.0,
"eval_accuracy": 0.9955106621773289,
"eval_loss": 0.22795027494430542,
"eval_runtime": 45.4458,
"eval_samples_per_second": 39.212,
"eval_steps_per_second": 4.907,
"step": 669
},
{
"epoch": 4.0,
"eval_accuracy": 0.9960718294051627,
"eval_loss": 0.2221607118844986,
"eval_runtime": 45.7745,
"eval_samples_per_second": 38.93,
"eval_steps_per_second": 4.872,
"step": 892
},
{
"epoch": 4.48,
"learning_rate": 1.128440366972477e-06,
"loss": 0.2131,
"step": 1000
},
{
"epoch": 5.0,
"eval_accuracy": 0.9955106621773289,
"eval_loss": 0.21652725338935852,
"eval_runtime": 46.3308,
"eval_samples_per_second": 38.463,
"eval_steps_per_second": 4.813,
"step": 1115
},
{
"epoch": 6.0,
"eval_accuracy": 0.9955106621773289,
"eval_loss": 0.2128886729478836,
"eval_runtime": 45.504,
"eval_samples_per_second": 39.161,
"eval_steps_per_second": 4.901,
"step": 1338
},
{
"epoch": 6.73,
"learning_rate": 6.697247706422018e-07,
"loss": 0.1971,
"step": 1500
},
{
"epoch": 7.0,
"eval_accuracy": 0.9960718294051627,
"eval_loss": 0.20924252271652222,
"eval_runtime": 45.8495,
"eval_samples_per_second": 38.866,
"eval_steps_per_second": 4.864,
"step": 1561
},
{
"epoch": 8.0,
"eval_accuracy": 0.9955106621773289,
"eval_loss": 0.2073087841272354,
"eval_runtime": 46.115,
"eval_samples_per_second": 38.643,
"eval_steps_per_second": 4.836,
"step": 1784
},
{
"epoch": 8.97,
"learning_rate": 2.110091743119266e-07,
"loss": 0.1871,
"step": 2000
},
{
"epoch": 9.0,
"eval_accuracy": 0.9955106621773289,
"eval_loss": 0.20515015721321106,
"eval_runtime": 45.8366,
"eval_samples_per_second": 38.877,
"eval_steps_per_second": 4.865,
"step": 2007
},
{
"epoch": 10.0,
"eval_accuracy": 0.9955106621773289,
"eval_loss": 0.20479127764701843,
"eval_runtime": 46.0599,
"eval_samples_per_second": 38.689,
"eval_steps_per_second": 4.842,
"step": 2230
}
],
"logging_steps": 500,
"max_steps": 2230,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 5.523003278059438e+18,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}