Token Classification
GLiNER
PyTorch
multilingual
NER
GLiNER
information extraction
encoder
entity recognition
gliner-qwen-1.5B-v1.0 / trainer_state.json
Ihor's picture
Upload folder using huggingface_hub
dc31849 verified
raw
history blame contribute delete
No virus
2.74 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.056338028169014,
"eval_steps": 500,
"global_step": 1200,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0880281690140845,
"grad_norm": 2641.419677734375,
"learning_rate": 4.166666666666667e-06,
"loss": 207.5718,
"step": 100
},
{
"epoch": 0.176056338028169,
"grad_norm": 3060.73486328125,
"learning_rate": 4.62962962962963e-06,
"loss": 126.3771,
"step": 200
},
{
"epoch": 0.2640845070422535,
"grad_norm": 808.4242553710938,
"learning_rate": 4.166666666666667e-06,
"loss": 125.2416,
"step": 300
},
{
"epoch": 0.352112676056338,
"grad_norm": 1393.006591796875,
"learning_rate": 3.7037037037037037e-06,
"loss": 104.9298,
"step": 400
},
{
"epoch": 0.44014084507042256,
"grad_norm": 1380.7303466796875,
"learning_rate": 3.240740740740741e-06,
"loss": 109.4596,
"step": 500
},
{
"epoch": 0.528169014084507,
"grad_norm": 2457.56494140625,
"learning_rate": 2.7777777777777783e-06,
"loss": 110.524,
"step": 600
},
{
"epoch": 0.6161971830985915,
"grad_norm": 2740.54052734375,
"learning_rate": 2.314814814814815e-06,
"loss": 114.8047,
"step": 700
},
{
"epoch": 0.704225352112676,
"grad_norm": 1358.532470703125,
"learning_rate": 1.8518518518518519e-06,
"loss": 105.7686,
"step": 800
},
{
"epoch": 0.7922535211267606,
"grad_norm": 2155.906982421875,
"learning_rate": 1.3888888888888892e-06,
"loss": 93.1012,
"step": 900
},
{
"epoch": 0.8802816901408451,
"grad_norm": 2438.5126953125,
"learning_rate": 9.259259259259259e-07,
"loss": 108.8455,
"step": 1000
},
{
"epoch": 0.9683098591549296,
"grad_norm": 1066.7130126953125,
"learning_rate": 4.6296296296296297e-07,
"loss": 99.7556,
"step": 1100
},
{
"epoch": 1.0,
"eval_loss": 283.56231689453125,
"eval_runtime": 22.2792,
"eval_samples_per_second": 45.334,
"eval_steps_per_second": 5.7,
"step": 1136
},
{
"epoch": 1.056338028169014,
"grad_norm": 2160.288818359375,
"learning_rate": 0.0,
"loss": 106.0304,
"step": 1200
}
],
"logging_steps": 100,
"max_steps": 1200,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 600,
"total_flos": 0.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}