Training in progress, epoch 9

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:763c0f2f7e203bb5429b6ab48b8a91d01a53d286ebff1b61e3f1b5891f786026
+oid sha256:77cc66d3d8f0212e176ed17daf4e21d6b451532e4ce71ebb83d6297c544ce966
 size 267832560

wandb/run-20240924_172630-x9iddikd/files/output.log

@@ -40,3 +40,4 @@ You should probably TRAIN this model on a down-stream task to be able to use it
 {'eval_loss': 0.3926897644996643, 'eval_accuracy': 0.905, 'eval_runtime': 37.6368, 'eval_samples_per_second': 26.57, 'eval_steps_per_second': 0.85, 'epoch': 6.0}
 {'eval_loss': 0.37185582518577576, 'eval_accuracy': 0.922, 'eval_runtime': 37.484, 'eval_samples_per_second': 26.678, 'eval_steps_per_second': 0.854, 'epoch': 7.0}
 {'loss': 0.1013, 'grad_norm': 0.6478258371353149, 'learning_rate': 8.400000000000001e-06, 'epoch': 8.0}
+{'eval_loss': 0.4580109715461731, 'eval_accuracy': 0.91, 'eval_runtime': 38.2702, 'eval_samples_per_second': 26.13, 'eval_steps_per_second': 0.836, 'epoch': 8.0}

wandb/run-20240924_172630-x9iddikd/files/wandb-summary.json

@@ -1 +1 @@
-{"eval/loss": 0.4580109715461731, "eval/accuracy": 0.91, "eval/runtime": 38.2702, "eval/samples_per_second": 26.13, "eval/steps_per_second": 0.836, "train/epoch": 8.0, "train/global_step": 1000, "_timestamp": 1727233994.321086, "_runtime": 24403.44817686081, "_step": 17, "train/loss": 0.1013, "train/grad_norm": 0.6478258371353149, "train/learning_rate": 8.400000000000001e-06, "train_runtime": 8026.8642, "train_samples_per_second": 2.492, "train_steps_per_second": 0.156, "total_flos": 2396475988298112.0, "train_loss": 0.11480112991333008}
+{"eval/loss": 0.4977562129497528, "eval/accuracy": 0.913, "eval/runtime": 37.7002, "eval/samples_per_second": 26.525, "eval/steps_per_second": 0.849, "train/epoch": 9.0, "train/global_step": 1125, "_timestamp": 1727235721.2553542, "_runtime": 26130.38244509697, "_step": 18, "train/loss": 0.1013, "train/grad_norm": 0.6478258371353149, "train/learning_rate": 8.400000000000001e-06, "train_runtime": 8026.8642, "train_samples_per_second": 2.492, "train_steps_per_second": 0.156, "total_flos": 2396475988298112.0, "train_loss": 0.11480112991333008}