Instructions to use error577/cab8e368-9316-42bd-b40f-817b565378af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/cab8e368-9316-42bd-b40f-817b565378af with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-14m") model = PeftModel.from_pretrained(base_model, "error577/cab8e368-9316-42bd-b40f-817b565378af") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 600, checkpoint
Browse files
last-checkpoint/adapter_config.json
CHANGED
|
@@ -22,8 +22,8 @@
|
|
| 22 |
"target_modules": [
|
| 23 |
"query_key_value",
|
| 24 |
"dense",
|
| 25 |
-
"
|
| 26 |
-
"
|
| 27 |
],
|
| 28 |
"task_type": "CAUSAL_LM",
|
| 29 |
"use_dora": false,
|
|
|
|
| 22 |
"target_modules": [
|
| 23 |
"query_key_value",
|
| 24 |
"dense",
|
| 25 |
+
"dense_4h_to_h",
|
| 26 |
+
"dense_h_to_4h"
|
| 27 |
],
|
| 28 |
"task_type": "CAUSAL_LM",
|
| 29 |
"use_dora": false,
|
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3152280
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:33501d2c8dfc661f517ceba8e85b0163d2fdccd3133fb21fee747c459bb2f4de
|
| 3 |
size 3152280
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:782200a943c9fe4c62b2194f6cd34044671cf3b0c3a00008fcc7a6648e0e70b7
|
| 3 |
+
size 1778426
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:31c7ccf7de048f8a58529f34cd9fe048446fec3f560b378fb29b494662cd8239
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc3e1a58ee20840b4d936a5bcb691b87769042f7f2b327cb948a2c6c067b8da2
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": 6.180864334106445,
|
| 3 |
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 100,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -3555,10 +3555,718 @@
|
|
| 3555 |
"eval_samples_per_second": 144.701,
|
| 3556 |
"eval_steps_per_second": 36.406,
|
| 3557 |
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3558 |
}
|
| 3559 |
],
|
| 3560 |
"logging_steps": 1,
|
| 3561 |
-
"max_steps":
|
| 3562 |
"num_input_tokens_seen": 0,
|
| 3563 |
"num_train_epochs": 10,
|
| 3564 |
"save_steps": 100,
|
|
@@ -3578,12 +4286,12 @@
|
|
| 3578 |
"should_evaluate": false,
|
| 3579 |
"should_log": false,
|
| 3580 |
"should_save": true,
|
| 3581 |
-
"should_training_stop":
|
| 3582 |
},
|
| 3583 |
"attributes": {}
|
| 3584 |
}
|
| 3585 |
},
|
| 3586 |
-
"total_flos":
|
| 3587 |
"train_batch_size": 4,
|
| 3588 |
"trial_name": null,
|
| 3589 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": 6.180864334106445,
|
| 3 |
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
+
"epoch": 0.003847633705271258,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 600,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 3555 |
"eval_samples_per_second": 144.701,
|
| 3556 |
"eval_steps_per_second": 36.406,
|
| 3557 |
"step": 500
|
| 3558 |
+
},
|
| 3559 |
+
{
|
| 3560 |
+
"epoch": 0.0032127741439015004,
|
| 3561 |
+
"grad_norm": 502.07843017578125,
|
| 3562 |
+
"learning_rate": 0.00019999995497920273,
|
| 3563 |
+
"loss": 8.2085,
|
| 3564 |
+
"step": 501
|
| 3565 |
+
},
|
| 3566 |
+
{
|
| 3567 |
+
"epoch": 0.0032191868667436193,
|
| 3568 |
+
"grad_norm": 613.0466918945312,
|
| 3569 |
+
"learning_rate": 0.00019999995478782868,
|
| 3570 |
+
"loss": 11.8137,
|
| 3571 |
+
"step": 502
|
| 3572 |
+
},
|
| 3573 |
+
{
|
| 3574 |
+
"epoch": 0.0032255995895857383,
|
| 3575 |
+
"grad_norm": 547.7665405273438,
|
| 3576 |
+
"learning_rate": 0.00019999995459604874,
|
| 3577 |
+
"loss": 10.7879,
|
| 3578 |
+
"step": 503
|
| 3579 |
+
},
|
| 3580 |
+
{
|
| 3581 |
+
"epoch": 0.003232012312427857,
|
| 3582 |
+
"grad_norm": 253.2191162109375,
|
| 3583 |
+
"learning_rate": 0.00019999995440386295,
|
| 3584 |
+
"loss": 6.6101,
|
| 3585 |
+
"step": 504
|
| 3586 |
+
},
|
| 3587 |
+
{
|
| 3588 |
+
"epoch": 0.003238425035269976,
|
| 3589 |
+
"grad_norm": 165.411376953125,
|
| 3590 |
+
"learning_rate": 0.00019999995421127124,
|
| 3591 |
+
"loss": 5.8444,
|
| 3592 |
+
"step": 505
|
| 3593 |
+
},
|
| 3594 |
+
{
|
| 3595 |
+
"epoch": 0.0032448377581120944,
|
| 3596 |
+
"grad_norm": 332.9987487792969,
|
| 3597 |
+
"learning_rate": 0.00019999995401827366,
|
| 3598 |
+
"loss": 8.2198,
|
| 3599 |
+
"step": 506
|
| 3600 |
+
},
|
| 3601 |
+
{
|
| 3602 |
+
"epoch": 0.0032512504809542133,
|
| 3603 |
+
"grad_norm": 317.8168640136719,
|
| 3604 |
+
"learning_rate": 0.00019999995382487024,
|
| 3605 |
+
"loss": 8.1729,
|
| 3606 |
+
"step": 507
|
| 3607 |
+
},
|
| 3608 |
+
{
|
| 3609 |
+
"epoch": 0.003257663203796332,
|
| 3610 |
+
"grad_norm": 160.78001403808594,
|
| 3611 |
+
"learning_rate": 0.00019999995363106089,
|
| 3612 |
+
"loss": 6.1451,
|
| 3613 |
+
"step": 508
|
| 3614 |
+
},
|
| 3615 |
+
{
|
| 3616 |
+
"epoch": 0.003264075926638451,
|
| 3617 |
+
"grad_norm": 86.34245300292969,
|
| 3618 |
+
"learning_rate": 0.00019999995343684566,
|
| 3619 |
+
"loss": 5.5498,
|
| 3620 |
+
"step": 509
|
| 3621 |
+
},
|
| 3622 |
+
{
|
| 3623 |
+
"epoch": 0.0032704886494805694,
|
| 3624 |
+
"grad_norm": 446.7667236328125,
|
| 3625 |
+
"learning_rate": 0.00019999995324222454,
|
| 3626 |
+
"loss": 7.5272,
|
| 3627 |
+
"step": 510
|
| 3628 |
+
},
|
| 3629 |
+
{
|
| 3630 |
+
"epoch": 0.0032769013723226883,
|
| 3631 |
+
"grad_norm": 305.4721374511719,
|
| 3632 |
+
"learning_rate": 0.00019999995304719755,
|
| 3633 |
+
"loss": 6.7703,
|
| 3634 |
+
"step": 511
|
| 3635 |
+
},
|
| 3636 |
+
{
|
| 3637 |
+
"epoch": 0.003283314095164807,
|
| 3638 |
+
"grad_norm": 56.15412902832031,
|
| 3639 |
+
"learning_rate": 0.0001999999528517647,
|
| 3640 |
+
"loss": 5.6625,
|
| 3641 |
+
"step": 512
|
| 3642 |
+
},
|
| 3643 |
+
{
|
| 3644 |
+
"epoch": 0.003289726818006926,
|
| 3645 |
+
"grad_norm": 101.23564910888672,
|
| 3646 |
+
"learning_rate": 0.00019999995265592593,
|
| 3647 |
+
"loss": 6.013,
|
| 3648 |
+
"step": 513
|
| 3649 |
+
},
|
| 3650 |
+
{
|
| 3651 |
+
"epoch": 0.0032961395408490444,
|
| 3652 |
+
"grad_norm": 254.35462951660156,
|
| 3653 |
+
"learning_rate": 0.0001999999524596813,
|
| 3654 |
+
"loss": 6.823,
|
| 3655 |
+
"step": 514
|
| 3656 |
+
},
|
| 3657 |
+
{
|
| 3658 |
+
"epoch": 0.0033025522636911634,
|
| 3659 |
+
"grad_norm": 127.9451904296875,
|
| 3660 |
+
"learning_rate": 0.00019999995226303074,
|
| 3661 |
+
"loss": 6.3172,
|
| 3662 |
+
"step": 515
|
| 3663 |
+
},
|
| 3664 |
+
{
|
| 3665 |
+
"epoch": 0.003308964986533282,
|
| 3666 |
+
"grad_norm": 27.16916275024414,
|
| 3667 |
+
"learning_rate": 0.00019999995206597434,
|
| 3668 |
+
"loss": 5.5932,
|
| 3669 |
+
"step": 516
|
| 3670 |
+
},
|
| 3671 |
+
{
|
| 3672 |
+
"epoch": 0.003315377709375401,
|
| 3673 |
+
"grad_norm": 216.32728576660156,
|
| 3674 |
+
"learning_rate": 0.00019999995186851207,
|
| 3675 |
+
"loss": 6.606,
|
| 3676 |
+
"step": 517
|
| 3677 |
+
},
|
| 3678 |
+
{
|
| 3679 |
+
"epoch": 0.0033217904322175194,
|
| 3680 |
+
"grad_norm": 289.5876770019531,
|
| 3681 |
+
"learning_rate": 0.0001999999516706439,
|
| 3682 |
+
"loss": 6.8063,
|
| 3683 |
+
"step": 518
|
| 3684 |
+
},
|
| 3685 |
+
{
|
| 3686 |
+
"epoch": 0.0033282031550596384,
|
| 3687 |
+
"grad_norm": 152.85629272460938,
|
| 3688 |
+
"learning_rate": 0.00019999995147236983,
|
| 3689 |
+
"loss": 5.9444,
|
| 3690 |
+
"step": 519
|
| 3691 |
+
},
|
| 3692 |
+
{
|
| 3693 |
+
"epoch": 0.003334615877901757,
|
| 3694 |
+
"grad_norm": 26.127994537353516,
|
| 3695 |
+
"learning_rate": 0.00019999995127368989,
|
| 3696 |
+
"loss": 5.4874,
|
| 3697 |
+
"step": 520
|
| 3698 |
+
},
|
| 3699 |
+
{
|
| 3700 |
+
"epoch": 0.003341028600743876,
|
| 3701 |
+
"grad_norm": 121.53495788574219,
|
| 3702 |
+
"learning_rate": 0.00019999995107460405,
|
| 3703 |
+
"loss": 5.5808,
|
| 3704 |
+
"step": 521
|
| 3705 |
+
},
|
| 3706 |
+
{
|
| 3707 |
+
"epoch": 0.0033474413235859944,
|
| 3708 |
+
"grad_norm": 56.6453971862793,
|
| 3709 |
+
"learning_rate": 0.00019999995087511237,
|
| 3710 |
+
"loss": 5.6168,
|
| 3711 |
+
"step": 522
|
| 3712 |
+
},
|
| 3713 |
+
{
|
| 3714 |
+
"epoch": 0.0033538540464281134,
|
| 3715 |
+
"grad_norm": 47.84210968017578,
|
| 3716 |
+
"learning_rate": 0.0001999999506752148,
|
| 3717 |
+
"loss": 5.4378,
|
| 3718 |
+
"step": 523
|
| 3719 |
+
},
|
| 3720 |
+
{
|
| 3721 |
+
"epoch": 0.003360266769270232,
|
| 3722 |
+
"grad_norm": 56.75403594970703,
|
| 3723 |
+
"learning_rate": 0.00019999995047491128,
|
| 3724 |
+
"loss": 5.5578,
|
| 3725 |
+
"step": 524
|
| 3726 |
+
},
|
| 3727 |
+
{
|
| 3728 |
+
"epoch": 0.003366679492112351,
|
| 3729 |
+
"grad_norm": 73.1769790649414,
|
| 3730 |
+
"learning_rate": 0.00019999995027420196,
|
| 3731 |
+
"loss": 5.7759,
|
| 3732 |
+
"step": 525
|
| 3733 |
+
},
|
| 3734 |
+
{
|
| 3735 |
+
"epoch": 0.00337309221495447,
|
| 3736 |
+
"grad_norm": 23.480016708374023,
|
| 3737 |
+
"learning_rate": 0.00019999995007308668,
|
| 3738 |
+
"loss": 5.3657,
|
| 3739 |
+
"step": 526
|
| 3740 |
+
},
|
| 3741 |
+
{
|
| 3742 |
+
"epoch": 0.0033795049377965884,
|
| 3743 |
+
"grad_norm": 48.917274475097656,
|
| 3744 |
+
"learning_rate": 0.0001999999498715656,
|
| 3745 |
+
"loss": 5.5891,
|
| 3746 |
+
"step": 527
|
| 3747 |
+
},
|
| 3748 |
+
{
|
| 3749 |
+
"epoch": 0.0033859176606387074,
|
| 3750 |
+
"grad_norm": 30.56466293334961,
|
| 3751 |
+
"learning_rate": 0.00019999994966963858,
|
| 3752 |
+
"loss": 5.7154,
|
| 3753 |
+
"step": 528
|
| 3754 |
+
},
|
| 3755 |
+
{
|
| 3756 |
+
"epoch": 0.003392330383480826,
|
| 3757 |
+
"grad_norm": 79.36869049072266,
|
| 3758 |
+
"learning_rate": 0.00019999994946730566,
|
| 3759 |
+
"loss": 5.6679,
|
| 3760 |
+
"step": 529
|
| 3761 |
+
},
|
| 3762 |
+
{
|
| 3763 |
+
"epoch": 0.003398743106322945,
|
| 3764 |
+
"grad_norm": 114.44317626953125,
|
| 3765 |
+
"learning_rate": 0.0001999999492645669,
|
| 3766 |
+
"loss": 5.6283,
|
| 3767 |
+
"step": 530
|
| 3768 |
+
},
|
| 3769 |
+
{
|
| 3770 |
+
"epoch": 0.0034051558291650634,
|
| 3771 |
+
"grad_norm": 73.3740005493164,
|
| 3772 |
+
"learning_rate": 0.00019999994906142225,
|
| 3773 |
+
"loss": 5.3905,
|
| 3774 |
+
"step": 531
|
| 3775 |
+
},
|
| 3776 |
+
{
|
| 3777 |
+
"epoch": 0.0034115685520071824,
|
| 3778 |
+
"grad_norm": 46.679927825927734,
|
| 3779 |
+
"learning_rate": 0.0001999999488578717,
|
| 3780 |
+
"loss": 5.7967,
|
| 3781 |
+
"step": 532
|
| 3782 |
+
},
|
| 3783 |
+
{
|
| 3784 |
+
"epoch": 0.003417981274849301,
|
| 3785 |
+
"grad_norm": 124.1196517944336,
|
| 3786 |
+
"learning_rate": 0.0001999999486539153,
|
| 3787 |
+
"loss": 6.1312,
|
| 3788 |
+
"step": 533
|
| 3789 |
+
},
|
| 3790 |
+
{
|
| 3791 |
+
"epoch": 0.00342439399769142,
|
| 3792 |
+
"grad_norm": 61.22017288208008,
|
| 3793 |
+
"learning_rate": 0.000199999948449553,
|
| 3794 |
+
"loss": 5.6268,
|
| 3795 |
+
"step": 534
|
| 3796 |
+
},
|
| 3797 |
+
{
|
| 3798 |
+
"epoch": 0.0034308067205335384,
|
| 3799 |
+
"grad_norm": 24.034265518188477,
|
| 3800 |
+
"learning_rate": 0.0001999999482447848,
|
| 3801 |
+
"loss": 5.3253,
|
| 3802 |
+
"step": 535
|
| 3803 |
+
},
|
| 3804 |
+
{
|
| 3805 |
+
"epoch": 0.0034372194433756574,
|
| 3806 |
+
"grad_norm": 267.0154724121094,
|
| 3807 |
+
"learning_rate": 0.0001999999480396107,
|
| 3808 |
+
"loss": 5.7651,
|
| 3809 |
+
"step": 536
|
| 3810 |
+
},
|
| 3811 |
+
{
|
| 3812 |
+
"epoch": 0.003443632166217776,
|
| 3813 |
+
"grad_norm": 330.27581787109375,
|
| 3814 |
+
"learning_rate": 0.00019999994783403077,
|
| 3815 |
+
"loss": 5.7339,
|
| 3816 |
+
"step": 537
|
| 3817 |
+
},
|
| 3818 |
+
{
|
| 3819 |
+
"epoch": 0.003450044889059895,
|
| 3820 |
+
"grad_norm": 141.09341430664062,
|
| 3821 |
+
"learning_rate": 0.00019999994762804493,
|
| 3822 |
+
"loss": 5.7764,
|
| 3823 |
+
"step": 538
|
| 3824 |
+
},
|
| 3825 |
+
{
|
| 3826 |
+
"epoch": 0.0034564576119020135,
|
| 3827 |
+
"grad_norm": 64.08247375488281,
|
| 3828 |
+
"learning_rate": 0.00019999994742165317,
|
| 3829 |
+
"loss": 5.3499,
|
| 3830 |
+
"step": 539
|
| 3831 |
+
},
|
| 3832 |
+
{
|
| 3833 |
+
"epoch": 0.0034628703347441324,
|
| 3834 |
+
"grad_norm": 71.64933013916016,
|
| 3835 |
+
"learning_rate": 0.00019999994721485556,
|
| 3836 |
+
"loss": 5.2559,
|
| 3837 |
+
"step": 540
|
| 3838 |
+
},
|
| 3839 |
+
{
|
| 3840 |
+
"epoch": 0.003469283057586251,
|
| 3841 |
+
"grad_norm": 110.33155059814453,
|
| 3842 |
+
"learning_rate": 0.0001999999470076521,
|
| 3843 |
+
"loss": 5.6171,
|
| 3844 |
+
"step": 541
|
| 3845 |
+
},
|
| 3846 |
+
{
|
| 3847 |
+
"epoch": 0.00347569578042837,
|
| 3848 |
+
"grad_norm": 84.54129791259766,
|
| 3849 |
+
"learning_rate": 0.00019999994680004274,
|
| 3850 |
+
"loss": 5.7173,
|
| 3851 |
+
"step": 542
|
| 3852 |
+
},
|
| 3853 |
+
{
|
| 3854 |
+
"epoch": 0.0034821085032704885,
|
| 3855 |
+
"grad_norm": 59.498313903808594,
|
| 3856 |
+
"learning_rate": 0.00019999994659202747,
|
| 3857 |
+
"loss": 5.4296,
|
| 3858 |
+
"step": 543
|
| 3859 |
+
},
|
| 3860 |
+
{
|
| 3861 |
+
"epoch": 0.0034885212261126074,
|
| 3862 |
+
"grad_norm": 46.42247009277344,
|
| 3863 |
+
"learning_rate": 0.00019999994638360632,
|
| 3864 |
+
"loss": 5.3192,
|
| 3865 |
+
"step": 544
|
| 3866 |
+
},
|
| 3867 |
+
{
|
| 3868 |
+
"epoch": 0.003494933948954726,
|
| 3869 |
+
"grad_norm": 88.4953384399414,
|
| 3870 |
+
"learning_rate": 0.0001999999461747793,
|
| 3871 |
+
"loss": 5.3791,
|
| 3872 |
+
"step": 545
|
| 3873 |
+
},
|
| 3874 |
+
{
|
| 3875 |
+
"epoch": 0.003501346671796845,
|
| 3876 |
+
"grad_norm": 41.935062408447266,
|
| 3877 |
+
"learning_rate": 0.0001999999459655464,
|
| 3878 |
+
"loss": 5.4765,
|
| 3879 |
+
"step": 546
|
| 3880 |
+
},
|
| 3881 |
+
{
|
| 3882 |
+
"epoch": 0.003507759394638964,
|
| 3883 |
+
"grad_norm": 47.83687210083008,
|
| 3884 |
+
"learning_rate": 0.00019999994575590758,
|
| 3885 |
+
"loss": 5.2339,
|
| 3886 |
+
"step": 547
|
| 3887 |
+
},
|
| 3888 |
+
{
|
| 3889 |
+
"epoch": 0.0035141721174810825,
|
| 3890 |
+
"grad_norm": 47.082889556884766,
|
| 3891 |
+
"learning_rate": 0.00019999994554586296,
|
| 3892 |
+
"loss": 5.6747,
|
| 3893 |
+
"step": 548
|
| 3894 |
+
},
|
| 3895 |
+
{
|
| 3896 |
+
"epoch": 0.0035205848403232014,
|
| 3897 |
+
"grad_norm": 57.118221282958984,
|
| 3898 |
+
"learning_rate": 0.00019999994533541237,
|
| 3899 |
+
"loss": 5.5226,
|
| 3900 |
+
"step": 549
|
| 3901 |
+
},
|
| 3902 |
+
{
|
| 3903 |
+
"epoch": 0.00352699756316532,
|
| 3904 |
+
"grad_norm": 36.28774642944336,
|
| 3905 |
+
"learning_rate": 0.00019999994512455595,
|
| 3906 |
+
"loss": 5.3132,
|
| 3907 |
+
"step": 550
|
| 3908 |
+
},
|
| 3909 |
+
{
|
| 3910 |
+
"epoch": 0.003533410286007439,
|
| 3911 |
+
"grad_norm": 138.41519165039062,
|
| 3912 |
+
"learning_rate": 0.0001999999449132936,
|
| 3913 |
+
"loss": 5.6158,
|
| 3914 |
+
"step": 551
|
| 3915 |
+
},
|
| 3916 |
+
{
|
| 3917 |
+
"epoch": 0.0035398230088495575,
|
| 3918 |
+
"grad_norm": 171.22288513183594,
|
| 3919 |
+
"learning_rate": 0.0001999999447016254,
|
| 3920 |
+
"loss": 5.9071,
|
| 3921 |
+
"step": 552
|
| 3922 |
+
},
|
| 3923 |
+
{
|
| 3924 |
+
"epoch": 0.0035462357316916764,
|
| 3925 |
+
"grad_norm": 129.5877227783203,
|
| 3926 |
+
"learning_rate": 0.00019999994448955131,
|
| 3927 |
+
"loss": 5.8751,
|
| 3928 |
+
"step": 553
|
| 3929 |
+
},
|
| 3930 |
+
{
|
| 3931 |
+
"epoch": 0.003552648454533795,
|
| 3932 |
+
"grad_norm": 51.502506256103516,
|
| 3933 |
+
"learning_rate": 0.00019999994427707135,
|
| 3934 |
+
"loss": 5.4592,
|
| 3935 |
+
"step": 554
|
| 3936 |
+
},
|
| 3937 |
+
{
|
| 3938 |
+
"epoch": 0.003559061177375914,
|
| 3939 |
+
"grad_norm": 56.272491455078125,
|
| 3940 |
+
"learning_rate": 0.0001999999440641855,
|
| 3941 |
+
"loss": 5.4904,
|
| 3942 |
+
"step": 555
|
| 3943 |
+
},
|
| 3944 |
+
{
|
| 3945 |
+
"epoch": 0.0035654739002180325,
|
| 3946 |
+
"grad_norm": 65.07127380371094,
|
| 3947 |
+
"learning_rate": 0.00019999994385089376,
|
| 3948 |
+
"loss": 5.5656,
|
| 3949 |
+
"step": 556
|
| 3950 |
+
},
|
| 3951 |
+
{
|
| 3952 |
+
"epoch": 0.0035718866230601515,
|
| 3953 |
+
"grad_norm": 54.71575927734375,
|
| 3954 |
+
"learning_rate": 0.00019999994363719613,
|
| 3955 |
+
"loss": 5.3691,
|
| 3956 |
+
"step": 557
|
| 3957 |
+
},
|
| 3958 |
+
{
|
| 3959 |
+
"epoch": 0.00357829934590227,
|
| 3960 |
+
"grad_norm": 25.144535064697266,
|
| 3961 |
+
"learning_rate": 0.00019999994342309263,
|
| 3962 |
+
"loss": 5.2283,
|
| 3963 |
+
"step": 558
|
| 3964 |
+
},
|
| 3965 |
+
{
|
| 3966 |
+
"epoch": 0.003584712068744389,
|
| 3967 |
+
"grad_norm": 274.56610107421875,
|
| 3968 |
+
"learning_rate": 0.00019999994320858325,
|
| 3969 |
+
"loss": 5.6787,
|
| 3970 |
+
"step": 559
|
| 3971 |
+
},
|
| 3972 |
+
{
|
| 3973 |
+
"epoch": 0.0035911247915865075,
|
| 3974 |
+
"grad_norm": 353.9886779785156,
|
| 3975 |
+
"learning_rate": 0.00019999994299366795,
|
| 3976 |
+
"loss": 6.2897,
|
| 3977 |
+
"step": 560
|
| 3978 |
+
},
|
| 3979 |
+
{
|
| 3980 |
+
"epoch": 0.0035975375144286265,
|
| 3981 |
+
"grad_norm": 312.9778137207031,
|
| 3982 |
+
"learning_rate": 0.0001999999427783468,
|
| 3983 |
+
"loss": 7.0025,
|
| 3984 |
+
"step": 561
|
| 3985 |
+
},
|
| 3986 |
+
{
|
| 3987 |
+
"epoch": 0.003603950237270745,
|
| 3988 |
+
"grad_norm": 230.35240173339844,
|
| 3989 |
+
"learning_rate": 0.00019999994256261977,
|
| 3990 |
+
"loss": 5.999,
|
| 3991 |
+
"step": 562
|
| 3992 |
+
},
|
| 3993 |
+
{
|
| 3994 |
+
"epoch": 0.003610362960112864,
|
| 3995 |
+
"grad_norm": 73.2686767578125,
|
| 3996 |
+
"learning_rate": 0.00019999994234648683,
|
| 3997 |
+
"loss": 5.2426,
|
| 3998 |
+
"step": 563
|
| 3999 |
+
},
|
| 4000 |
+
{
|
| 4001 |
+
"epoch": 0.0036167756829549825,
|
| 4002 |
+
"grad_norm": 79.3612289428711,
|
| 4003 |
+
"learning_rate": 0.00019999994212994805,
|
| 4004 |
+
"loss": 5.5671,
|
| 4005 |
+
"step": 564
|
| 4006 |
+
},
|
| 4007 |
+
{
|
| 4008 |
+
"epoch": 0.0036231884057971015,
|
| 4009 |
+
"grad_norm": 108.92337036132812,
|
| 4010 |
+
"learning_rate": 0.00019999994191300334,
|
| 4011 |
+
"loss": 5.7412,
|
| 4012 |
+
"step": 565
|
| 4013 |
+
},
|
| 4014 |
+
{
|
| 4015 |
+
"epoch": 0.00362960112863922,
|
| 4016 |
+
"grad_norm": 145.1487579345703,
|
| 4017 |
+
"learning_rate": 0.0001999999416956528,
|
| 4018 |
+
"loss": 6.0119,
|
| 4019 |
+
"step": 566
|
| 4020 |
+
},
|
| 4021 |
+
{
|
| 4022 |
+
"epoch": 0.003636013851481339,
|
| 4023 |
+
"grad_norm": 115.86936950683594,
|
| 4024 |
+
"learning_rate": 0.00019999994147789632,
|
| 4025 |
+
"loss": 6.1741,
|
| 4026 |
+
"step": 567
|
| 4027 |
+
},
|
| 4028 |
+
{
|
| 4029 |
+
"epoch": 0.0036424265743234575,
|
| 4030 |
+
"grad_norm": 135.33505249023438,
|
| 4031 |
+
"learning_rate": 0.00019999994125973397,
|
| 4032 |
+
"loss": 5.42,
|
| 4033 |
+
"step": 568
|
| 4034 |
+
},
|
| 4035 |
+
{
|
| 4036 |
+
"epoch": 0.0036488392971655765,
|
| 4037 |
+
"grad_norm": 37.14260482788086,
|
| 4038 |
+
"learning_rate": 0.00019999994104116578,
|
| 4039 |
+
"loss": 5.2362,
|
| 4040 |
+
"step": 569
|
| 4041 |
+
},
|
| 4042 |
+
{
|
| 4043 |
+
"epoch": 0.0036552520200076955,
|
| 4044 |
+
"grad_norm": 117.49516296386719,
|
| 4045 |
+
"learning_rate": 0.00019999994082219166,
|
| 4046 |
+
"loss": 5.569,
|
| 4047 |
+
"step": 570
|
| 4048 |
+
},
|
| 4049 |
+
{
|
| 4050 |
+
"epoch": 0.003661664742849814,
|
| 4051 |
+
"grad_norm": 86.9608154296875,
|
| 4052 |
+
"learning_rate": 0.0001999999406028117,
|
| 4053 |
+
"loss": 5.5074,
|
| 4054 |
+
"step": 571
|
| 4055 |
+
},
|
| 4056 |
+
{
|
| 4057 |
+
"epoch": 0.003668077465691933,
|
| 4058 |
+
"grad_norm": 112.46259307861328,
|
| 4059 |
+
"learning_rate": 0.0001999999403830258,
|
| 4060 |
+
"loss": 5.3665,
|
| 4061 |
+
"step": 572
|
| 4062 |
+
},
|
| 4063 |
+
{
|
| 4064 |
+
"epoch": 0.0036744901885340515,
|
| 4065 |
+
"grad_norm": 84.27535247802734,
|
| 4066 |
+
"learning_rate": 0.00019999994016283405,
|
| 4067 |
+
"loss": 5.3562,
|
| 4068 |
+
"step": 573
|
| 4069 |
+
},
|
| 4070 |
+
{
|
| 4071 |
+
"epoch": 0.0036809029113761705,
|
| 4072 |
+
"grad_norm": 49.959075927734375,
|
| 4073 |
+
"learning_rate": 0.0001999999399422364,
|
| 4074 |
+
"loss": 5.2548,
|
| 4075 |
+
"step": 574
|
| 4076 |
+
},
|
| 4077 |
+
{
|
| 4078 |
+
"epoch": 0.003687315634218289,
|
| 4079 |
+
"grad_norm": 70.88404846191406,
|
| 4080 |
+
"learning_rate": 0.00019999993972123287,
|
| 4081 |
+
"loss": 5.287,
|
| 4082 |
+
"step": 575
|
| 4083 |
+
},
|
| 4084 |
+
{
|
| 4085 |
+
"epoch": 0.003693728357060408,
|
| 4086 |
+
"grad_norm": 33.82511901855469,
|
| 4087 |
+
"learning_rate": 0.0001999999394998235,
|
| 4088 |
+
"loss": 5.3165,
|
| 4089 |
+
"step": 576
|
| 4090 |
+
},
|
| 4091 |
+
{
|
| 4092 |
+
"epoch": 0.0037001410799025265,
|
| 4093 |
+
"grad_norm": 279.2095947265625,
|
| 4094 |
+
"learning_rate": 0.0001999999392780082,
|
| 4095 |
+
"loss": 5.1628,
|
| 4096 |
+
"step": 577
|
| 4097 |
+
},
|
| 4098 |
+
{
|
| 4099 |
+
"epoch": 0.0037065538027446455,
|
| 4100 |
+
"grad_norm": 93.76123046875,
|
| 4101 |
+
"learning_rate": 0.00019999993905578704,
|
| 4102 |
+
"loss": 5.6685,
|
| 4103 |
+
"step": 578
|
| 4104 |
+
},
|
| 4105 |
+
{
|
| 4106 |
+
"epoch": 0.003712966525586764,
|
| 4107 |
+
"grad_norm": 101.29888916015625,
|
| 4108 |
+
"learning_rate": 0.00019999993883315997,
|
| 4109 |
+
"loss": 5.5861,
|
| 4110 |
+
"step": 579
|
| 4111 |
+
},
|
| 4112 |
+
{
|
| 4113 |
+
"epoch": 0.003719379248428883,
|
| 4114 |
+
"grad_norm": 243.8697509765625,
|
| 4115 |
+
"learning_rate": 0.00019999993861012703,
|
| 4116 |
+
"loss": 5.1949,
|
| 4117 |
+
"step": 580
|
| 4118 |
+
},
|
| 4119 |
+
{
|
| 4120 |
+
"epoch": 0.0037257919712710016,
|
| 4121 |
+
"grad_norm": 367.3442687988281,
|
| 4122 |
+
"learning_rate": 0.00019999993838668823,
|
| 4123 |
+
"loss": 5.3113,
|
| 4124 |
+
"step": 581
|
| 4125 |
+
},
|
| 4126 |
+
{
|
| 4127 |
+
"epoch": 0.0037322046941131205,
|
| 4128 |
+
"grad_norm": 124.75727081298828,
|
| 4129 |
+
"learning_rate": 0.0001999999381628435,
|
| 4130 |
+
"loss": 5.522,
|
| 4131 |
+
"step": 582
|
| 4132 |
+
},
|
| 4133 |
+
{
|
| 4134 |
+
"epoch": 0.003738617416955239,
|
| 4135 |
+
"grad_norm": 66.15132904052734,
|
| 4136 |
+
"learning_rate": 0.00019999993793859292,
|
| 4137 |
+
"loss": 5.4998,
|
| 4138 |
+
"step": 583
|
| 4139 |
+
},
|
| 4140 |
+
{
|
| 4141 |
+
"epoch": 0.003745030139797358,
|
| 4142 |
+
"grad_norm": 48.89323806762695,
|
| 4143 |
+
"learning_rate": 0.00019999993771393647,
|
| 4144 |
+
"loss": 5.6319,
|
| 4145 |
+
"step": 584
|
| 4146 |
+
},
|
| 4147 |
+
{
|
| 4148 |
+
"epoch": 0.0037514428626394766,
|
| 4149 |
+
"grad_norm": 31.524120330810547,
|
| 4150 |
+
"learning_rate": 0.0001999999374888741,
|
| 4151 |
+
"loss": 5.3897,
|
| 4152 |
+
"step": 585
|
| 4153 |
+
},
|
| 4154 |
+
{
|
| 4155 |
+
"epoch": 0.0037578555854815955,
|
| 4156 |
+
"grad_norm": 62.71697235107422,
|
| 4157 |
+
"learning_rate": 0.00019999993726340588,
|
| 4158 |
+
"loss": 5.408,
|
| 4159 |
+
"step": 586
|
| 4160 |
+
},
|
| 4161 |
+
{
|
| 4162 |
+
"epoch": 0.003764268308323714,
|
| 4163 |
+
"grad_norm": 119.73779296875,
|
| 4164 |
+
"learning_rate": 0.00019999993703753174,
|
| 4165 |
+
"loss": 5.2507,
|
| 4166 |
+
"step": 587
|
| 4167 |
+
},
|
| 4168 |
+
{
|
| 4169 |
+
"epoch": 0.003770681031165833,
|
| 4170 |
+
"grad_norm": 184.00723266601562,
|
| 4171 |
+
"learning_rate": 0.00019999993681125172,
|
| 4172 |
+
"loss": 5.4869,
|
| 4173 |
+
"step": 588
|
| 4174 |
+
},
|
| 4175 |
+
{
|
| 4176 |
+
"epoch": 0.0037770937540079516,
|
| 4177 |
+
"grad_norm": 44.4374885559082,
|
| 4178 |
+
"learning_rate": 0.00019999993658456586,
|
| 4179 |
+
"loss": 5.3219,
|
| 4180 |
+
"step": 589
|
| 4181 |
+
},
|
| 4182 |
+
{
|
| 4183 |
+
"epoch": 0.0037835064768500706,
|
| 4184 |
+
"grad_norm": 67.2987289428711,
|
| 4185 |
+
"learning_rate": 0.00019999993635747408,
|
| 4186 |
+
"loss": 5.4691,
|
| 4187 |
+
"step": 590
|
| 4188 |
+
},
|
| 4189 |
+
{
|
| 4190 |
+
"epoch": 0.003789919199692189,
|
| 4191 |
+
"grad_norm": 112.32588958740234,
|
| 4192 |
+
"learning_rate": 0.00019999993612997643,
|
| 4193 |
+
"loss": 5.1633,
|
| 4194 |
+
"step": 591
|
| 4195 |
+
},
|
| 4196 |
+
{
|
| 4197 |
+
"epoch": 0.003796331922534308,
|
| 4198 |
+
"grad_norm": 81.86377716064453,
|
| 4199 |
+
"learning_rate": 0.0001999999359020729,
|
| 4200 |
+
"loss": 5.1962,
|
| 4201 |
+
"step": 592
|
| 4202 |
+
},
|
| 4203 |
+
{
|
| 4204 |
+
"epoch": 0.003802744645376427,
|
| 4205 |
+
"grad_norm": 155.54257202148438,
|
| 4206 |
+
"learning_rate": 0.0001999999356737635,
|
| 4207 |
+
"loss": 5.1754,
|
| 4208 |
+
"step": 593
|
| 4209 |
+
},
|
| 4210 |
+
{
|
| 4211 |
+
"epoch": 0.0038091573682185456,
|
| 4212 |
+
"grad_norm": 133.15318298339844,
|
| 4213 |
+
"learning_rate": 0.00019999993544504818,
|
| 4214 |
+
"loss": 5.2744,
|
| 4215 |
+
"step": 594
|
| 4216 |
+
},
|
| 4217 |
+
{
|
| 4218 |
+
"epoch": 0.0038155700910606646,
|
| 4219 |
+
"grad_norm": 63.7751579284668,
|
| 4220 |
+
"learning_rate": 0.000199999935215927,
|
| 4221 |
+
"loss": 5.0323,
|
| 4222 |
+
"step": 595
|
| 4223 |
+
},
|
| 4224 |
+
{
|
| 4225 |
+
"epoch": 0.003821982813902783,
|
| 4226 |
+
"grad_norm": 68.97856140136719,
|
| 4227 |
+
"learning_rate": 0.0001999999349863999,
|
| 4228 |
+
"loss": 5.4532,
|
| 4229 |
+
"step": 596
|
| 4230 |
+
},
|
| 4231 |
+
{
|
| 4232 |
+
"epoch": 0.003828395536744902,
|
| 4233 |
+
"grad_norm": 103.23686218261719,
|
| 4234 |
+
"learning_rate": 0.00019999993475646697,
|
| 4235 |
+
"loss": 5.2733,
|
| 4236 |
+
"step": 597
|
| 4237 |
+
},
|
| 4238 |
+
{
|
| 4239 |
+
"epoch": 0.0038348082595870206,
|
| 4240 |
+
"grad_norm": 45.38492965698242,
|
| 4241 |
+
"learning_rate": 0.00019999993452612813,
|
| 4242 |
+
"loss": 5.2592,
|
| 4243 |
+
"step": 598
|
| 4244 |
+
},
|
| 4245 |
+
{
|
| 4246 |
+
"epoch": 0.0038412209824291396,
|
| 4247 |
+
"grad_norm": 67.71326446533203,
|
| 4248 |
+
"learning_rate": 0.00019999993429538343,
|
| 4249 |
+
"loss": 5.0752,
|
| 4250 |
+
"step": 599
|
| 4251 |
+
},
|
| 4252 |
+
{
|
| 4253 |
+
"epoch": 0.003847633705271258,
|
| 4254 |
+
"grad_norm": 111.2350082397461,
|
| 4255 |
+
"learning_rate": 0.0001999999340642328,
|
| 4256 |
+
"loss": 5.4495,
|
| 4257 |
+
"step": 600
|
| 4258 |
+
},
|
| 4259 |
+
{
|
| 4260 |
+
"epoch": 0.003847633705271258,
|
| 4261 |
+
"eval_loss": 5.3661017417907715,
|
| 4262 |
+
"eval_runtime": 34.6248,
|
| 4263 |
+
"eval_samples_per_second": 90.542,
|
| 4264 |
+
"eval_steps_per_second": 22.643,
|
| 4265 |
+
"step": 600
|
| 4266 |
}
|
| 4267 |
],
|
| 4268 |
"logging_steps": 1,
|
| 4269 |
+
"max_steps": 1559400,
|
| 4270 |
"num_input_tokens_seen": 0,
|
| 4271 |
"num_train_epochs": 10,
|
| 4272 |
"save_steps": 100,
|
|
|
|
| 4286 |
"should_evaluate": false,
|
| 4287 |
"should_log": false,
|
| 4288 |
"should_save": true,
|
| 4289 |
+
"should_training_stop": false
|
| 4290 |
},
|
| 4291 |
"attributes": {}
|
| 4292 |
}
|
| 4293 |
},
|
| 4294 |
+
"total_flos": 226149732974592.0,
|
| 4295 |
"train_batch_size": 4,
|
| 4296 |
"trial_name": null,
|
| 4297 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c19e97a3c9e089e66fb1f9b7d2e49574e0f1be6571139f044a3ab54f1d111be2
|
| 3 |
+
size 6712
|