justmalhar's picture
Upload folder using huggingface_hub
d66a283 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.5,
"eval_steps": 25,
"global_step": 375,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 2.3797595190380762e-05,
"loss": 3.5104,
"step": 25
},
{
"epoch": 0.03,
"eval_loss": 2.643505334854126,
"eval_runtime": 13.8992,
"eval_samples_per_second": 17.987,
"eval_steps_per_second": 2.302,
"step": 25
},
{
"epoch": 0.07,
"learning_rate": 2.2545090180360722e-05,
"loss": 2.2052,
"step": 50
},
{
"epoch": 0.07,
"eval_loss": 1.966366171836853,
"eval_runtime": 13.6092,
"eval_samples_per_second": 18.37,
"eval_steps_per_second": 2.351,
"step": 50
},
{
"epoch": 0.1,
"learning_rate": 2.1292585170340683e-05,
"loss": 1.81,
"step": 75
},
{
"epoch": 0.1,
"eval_loss": 1.8134992122650146,
"eval_runtime": 13.5125,
"eval_samples_per_second": 18.501,
"eval_steps_per_second": 2.368,
"step": 75
},
{
"epoch": 0.13,
"learning_rate": 2.0040080160320643e-05,
"loss": 1.705,
"step": 100
},
{
"epoch": 0.13,
"eval_loss": 1.7801309823989868,
"eval_runtime": 13.4868,
"eval_samples_per_second": 18.537,
"eval_steps_per_second": 2.373,
"step": 100
},
{
"epoch": 0.17,
"learning_rate": 1.87875751503006e-05,
"loss": 1.6288,
"step": 125
},
{
"epoch": 0.17,
"eval_loss": 1.7698311805725098,
"eval_runtime": 13.6256,
"eval_samples_per_second": 18.348,
"eval_steps_per_second": 2.349,
"step": 125
},
{
"epoch": 0.2,
"learning_rate": 1.7535070140280564e-05,
"loss": 1.7262,
"step": 150
},
{
"epoch": 0.2,
"eval_loss": 1.7579054832458496,
"eval_runtime": 13.6761,
"eval_samples_per_second": 18.28,
"eval_steps_per_second": 2.34,
"step": 150
},
{
"epoch": 0.23,
"learning_rate": 1.628256513026052e-05,
"loss": 1.6657,
"step": 175
},
{
"epoch": 0.23,
"eval_loss": 1.7578012943267822,
"eval_runtime": 13.4284,
"eval_samples_per_second": 18.617,
"eval_steps_per_second": 2.383,
"step": 175
},
{
"epoch": 0.27,
"learning_rate": 1.5030060120240483e-05,
"loss": 1.6197,
"step": 200
},
{
"epoch": 0.27,
"eval_loss": 1.7506276369094849,
"eval_runtime": 13.5018,
"eval_samples_per_second": 18.516,
"eval_steps_per_second": 2.37,
"step": 200
},
{
"epoch": 0.3,
"learning_rate": 1.3777555110220442e-05,
"loss": 1.7643,
"step": 225
},
{
"epoch": 0.3,
"eval_loss": 1.745801568031311,
"eval_runtime": 13.5003,
"eval_samples_per_second": 18.518,
"eval_steps_per_second": 2.37,
"step": 225
},
{
"epoch": 0.33,
"learning_rate": 1.25250501002004e-05,
"loss": 1.6707,
"step": 250
},
{
"epoch": 0.33,
"eval_loss": 1.7450388669967651,
"eval_runtime": 13.3223,
"eval_samples_per_second": 18.765,
"eval_steps_per_second": 2.402,
"step": 250
},
{
"epoch": 0.37,
"learning_rate": 1.1272545090180361e-05,
"loss": 1.6439,
"step": 275
},
{
"epoch": 0.37,
"eval_loss": 1.7427024841308594,
"eval_runtime": 13.3162,
"eval_samples_per_second": 18.774,
"eval_steps_per_second": 2.403,
"step": 275
},
{
"epoch": 0.4,
"learning_rate": 1.0020040080160322e-05,
"loss": 1.5697,
"step": 300
},
{
"epoch": 0.4,
"eval_loss": 1.7423481941223145,
"eval_runtime": 13.6598,
"eval_samples_per_second": 18.302,
"eval_steps_per_second": 2.343,
"step": 300
},
{
"epoch": 0.43,
"learning_rate": 8.767535070140282e-06,
"loss": 1.6362,
"step": 325
},
{
"epoch": 0.43,
"eval_loss": 1.7418254613876343,
"eval_runtime": 13.299,
"eval_samples_per_second": 18.798,
"eval_steps_per_second": 2.406,
"step": 325
},
{
"epoch": 0.47,
"learning_rate": 7.515030060120242e-06,
"loss": 1.607,
"step": 350
},
{
"epoch": 0.47,
"eval_loss": 1.738572120666504,
"eval_runtime": 13.7472,
"eval_samples_per_second": 18.186,
"eval_steps_per_second": 2.328,
"step": 350
},
{
"epoch": 0.5,
"learning_rate": 6.2625250501002e-06,
"loss": 1.5168,
"step": 375
},
{
"epoch": 0.5,
"eval_loss": 1.7354249954223633,
"eval_runtime": 13.5456,
"eval_samples_per_second": 18.456,
"eval_steps_per_second": 2.362,
"step": 375
}
],
"logging_steps": 25,
"max_steps": 500,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 25,
"total_flos": 6162799656960000.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}