End of training

README.md

@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 400
+- training_steps: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -55,6 +55,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.38.0.dev0
-- Pytorch 2.2.0+cu121
+- Pytorch 2.1.0+cu121
 - Datasets 2.17.0
 - Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:73d611bc34423c08b43fbbc1b3191a2c2f29729cb6119fca37ca185aae68e510
+oid sha256:ee3866c06cd6ae96d47c818f4bea9175abe9ab4eddff07e674a7df77a6f4e367
 size 577789320

runs/Feb15_21-32-54_c06f7f21c073/events.out.tfevents.1708032775.c06f7f21c073.418.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84e7153ec9d77b5251889470b94ed11a3b3974755b3c1f474b2e56317f684dab
+size 6532

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b88172b0d1155669c2c87506d3b9bbf2a68d4896cf47bfa81d889e18c09cec9f
+oid sha256:7655a87da54e540eb7d42fe743c8a0c205948dd284e0f463df13c9d11fa1a7d0
 size 5048