priyaradhakrishnan0's picture
initial commit
12dd231
{
"best_metric": 1.631639838218689,
"best_model_checkpoint": "flan-t5-small-samsum/checkpoint-3684",
"epoch": 4.0,
"eval_steps": 500,
"global_step": 7368,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.27,
"learning_rate": 4.728555917480999e-05,
"loss": 1.5521,
"step": 500
},
{
"epoch": 0.54,
"learning_rate": 4.457111834961998e-05,
"loss": 1.5546,
"step": 1000
},
{
"epoch": 0.81,
"learning_rate": 4.185667752442997e-05,
"loss": 1.5782,
"step": 1500
},
{
"epoch": 1.0,
"eval_gen_len": 16.80952380952381,
"eval_loss": 1.6427778005599976,
"eval_rouge1": 43.7392,
"eval_rouge2": 19.2055,
"eval_rougeL": 36.2978,
"eval_rougeLsum": 39.9317,
"eval_runtime": 45.0957,
"eval_samples_per_second": 18.161,
"eval_steps_per_second": 2.284,
"step": 1842
},
{
"epoch": 1.09,
"learning_rate": 3.914223669923996e-05,
"loss": 1.5701,
"step": 2000
},
{
"epoch": 1.36,
"learning_rate": 3.642779587404995e-05,
"loss": 1.5175,
"step": 2500
},
{
"epoch": 1.63,
"learning_rate": 3.3713355048859935e-05,
"loss": 1.5559,
"step": 3000
},
{
"epoch": 1.9,
"learning_rate": 3.099891422366993e-05,
"loss": 1.5494,
"step": 3500
},
{
"epoch": 2.0,
"eval_gen_len": 16.936507936507937,
"eval_loss": 1.631639838218689,
"eval_rouge1": 44.0128,
"eval_rouge2": 19.4478,
"eval_rougeL": 36.4456,
"eval_rougeLsum": 40.0738,
"eval_runtime": 43.2682,
"eval_samples_per_second": 18.928,
"eval_steps_per_second": 2.381,
"step": 3684
},
{
"epoch": 2.17,
"learning_rate": 2.8284473398479917e-05,
"loss": 1.5269,
"step": 4000
},
{
"epoch": 2.44,
"learning_rate": 2.5570032573289905e-05,
"loss": 1.5179,
"step": 4500
},
{
"epoch": 2.71,
"learning_rate": 2.2855591748099893e-05,
"loss": 1.5423,
"step": 5000
},
{
"epoch": 2.99,
"learning_rate": 2.0141150922909884e-05,
"loss": 1.5445,
"step": 5500
},
{
"epoch": 3.0,
"eval_gen_len": 16.943833943833944,
"eval_loss": 1.6355613470077515,
"eval_rouge1": 44.0056,
"eval_rouge2": 19.5202,
"eval_rougeL": 36.3341,
"eval_rougeLsum": 39.9956,
"eval_runtime": 44.6582,
"eval_samples_per_second": 18.339,
"eval_steps_per_second": 2.306,
"step": 5526
},
{
"epoch": 3.26,
"learning_rate": 1.742671009771987e-05,
"loss": 1.5163,
"step": 6000
},
{
"epoch": 3.53,
"learning_rate": 1.471226927252986e-05,
"loss": 1.5263,
"step": 6500
},
{
"epoch": 3.8,
"learning_rate": 1.1997828447339848e-05,
"loss": 1.5379,
"step": 7000
},
{
"epoch": 4.0,
"eval_gen_len": 16.964590964590965,
"eval_loss": 1.6338579654693604,
"eval_rouge1": 43.8323,
"eval_rouge2": 19.6412,
"eval_rougeL": 36.2335,
"eval_rougeLsum": 39.9361,
"eval_runtime": 43.7905,
"eval_samples_per_second": 18.703,
"eval_steps_per_second": 2.352,
"step": 7368
}
],
"logging_steps": 500,
"max_steps": 9210,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 1.0954155661197312e+16,
"trial_name": null,
"trial_params": null
}