PyTorch
Chinese
alpaca
Chinese-Vicuna
llama
Facico commited on
Commit
6b55a69
1 Parent(s): 9c70738

Upload 6 files

Browse files
Files changed (6) hide show
  1. optimizer.pt +3 -0
  2. pytorch_model.bin +3 -0
  3. scaler.pt +3 -0
  4. scheduler.pt +3 -0
  5. trainer_state.json +3959 -0
  6. training_args.bin +3 -0
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31886c00d94670fd2a564a76f79efa258b21a25978bc0b48f9dcc95d675deffb
3
+ size 33629893
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7df7f8654335d07255be64f4dbdf1feacc2e36c42d66250b46010700130607fa
3
+ size 16822989
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ab81065f51d386bbd65bf7faee4fcaa58b8ee09d08d6ebdcf6e72e2b0217f7c
3
+ size 557
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:baf3168bfece87df38f6451197907f82f0f85e07b60af7089af2a1bc56faf6ba
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,3959 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8358597159385681,
3
+ "epoch": 2.011583948947387,
4
+ "global_step": 11600,
5
+ "is_hyper_param_search": false,
6
+ "is_local_process_zero": true,
7
+ "is_world_process_zero": true,
8
+ "log_history": [
9
+ {
10
+ "epoch": 0.0,
11
+ "learning_rate": 5.9999999999999995e-05,
12
+ "loss": 1.9169,
13
+ "step": 20
14
+ },
15
+ {
16
+ "epoch": 0.01,
17
+ "learning_rate": 0.00011999999999999999,
18
+ "loss": 1.6001,
19
+ "step": 40
20
+ },
21
+ {
22
+ "epoch": 0.01,
23
+ "learning_rate": 0.00017999999999999998,
24
+ "loss": 1.2273,
25
+ "step": 60
26
+ },
27
+ {
28
+ "epoch": 0.01,
29
+ "learning_rate": 0.00023999999999999998,
30
+ "loss": 1.1652,
31
+ "step": 80
32
+ },
33
+ {
34
+ "epoch": 0.02,
35
+ "learning_rate": 0.0003,
36
+ "loss": 1.1155,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.02,
41
+ "learning_rate": 0.0002996511222235143,
42
+ "loss": 1.0974,
43
+ "step": 120
44
+ },
45
+ {
46
+ "epoch": 0.02,
47
+ "learning_rate": 0.0002993022444470287,
48
+ "loss": 1.0811,
49
+ "step": 140
50
+ },
51
+ {
52
+ "epoch": 0.03,
53
+ "learning_rate": 0.00029895336667054307,
54
+ "loss": 1.0819,
55
+ "step": 160
56
+ },
57
+ {
58
+ "epoch": 0.03,
59
+ "learning_rate": 0.0002986044888940574,
60
+ "loss": 1.0658,
61
+ "step": 180
62
+ },
63
+ {
64
+ "epoch": 0.03,
65
+ "learning_rate": 0.0002982556111175718,
66
+ "loss": 1.0597,
67
+ "step": 200
68
+ },
69
+ {
70
+ "epoch": 0.03,
71
+ "eval_loss": 1.0481364727020264,
72
+ "eval_runtime": 50.5238,
73
+ "eval_samples_per_second": 39.585,
74
+ "eval_steps_per_second": 1.663,
75
+ "step": 200
76
+ },
77
+ {
78
+ "epoch": 0.04,
79
+ "learning_rate": 0.0002979067333410861,
80
+ "loss": 1.0552,
81
+ "step": 220
82
+ },
83
+ {
84
+ "epoch": 0.04,
85
+ "learning_rate": 0.0002975578555646005,
86
+ "loss": 1.0405,
87
+ "step": 240
88
+ },
89
+ {
90
+ "epoch": 0.05,
91
+ "learning_rate": 0.0002972089777881149,
92
+ "loss": 1.0433,
93
+ "step": 260
94
+ },
95
+ {
96
+ "epoch": 0.05,
97
+ "learning_rate": 0.0002968601000116292,
98
+ "loss": 1.0386,
99
+ "step": 280
100
+ },
101
+ {
102
+ "epoch": 0.05,
103
+ "learning_rate": 0.0002965112222351436,
104
+ "loss": 1.0273,
105
+ "step": 300
106
+ },
107
+ {
108
+ "epoch": 0.06,
109
+ "learning_rate": 0.000296162344458658,
110
+ "loss": 1.04,
111
+ "step": 320
112
+ },
113
+ {
114
+ "epoch": 0.06,
115
+ "learning_rate": 0.0002958134666821723,
116
+ "loss": 1.0148,
117
+ "step": 340
118
+ },
119
+ {
120
+ "epoch": 0.06,
121
+ "learning_rate": 0.0002954645889056867,
122
+ "loss": 1.0144,
123
+ "step": 360
124
+ },
125
+ {
126
+ "epoch": 0.07,
127
+ "learning_rate": 0.000295115711129201,
128
+ "loss": 1.0088,
129
+ "step": 380
130
+ },
131
+ {
132
+ "epoch": 0.07,
133
+ "learning_rate": 0.0002947668333527154,
134
+ "loss": 1.0048,
135
+ "step": 400
136
+ },
137
+ {
138
+ "epoch": 0.07,
139
+ "eval_loss": 1.0047168731689453,
140
+ "eval_runtime": 49.9795,
141
+ "eval_samples_per_second": 40.016,
142
+ "eval_steps_per_second": 1.681,
143
+ "step": 400
144
+ },
145
+ {
146
+ "epoch": 0.07,
147
+ "learning_rate": 0.0002944179555762298,
148
+ "loss": 1.0181,
149
+ "step": 420
150
+ },
151
+ {
152
+ "epoch": 0.08,
153
+ "learning_rate": 0.0002940690777997441,
154
+ "loss": 1.0054,
155
+ "step": 440
156
+ },
157
+ {
158
+ "epoch": 0.08,
159
+ "learning_rate": 0.0002937202000232585,
160
+ "loss": 1.0125,
161
+ "step": 460
162
+ },
163
+ {
164
+ "epoch": 0.08,
165
+ "learning_rate": 0.00029337132224677284,
166
+ "loss": 1.0066,
167
+ "step": 480
168
+ },
169
+ {
170
+ "epoch": 0.09,
171
+ "learning_rate": 0.0002930224444702872,
172
+ "loss": 1.011,
173
+ "step": 500
174
+ },
175
+ {
176
+ "epoch": 0.09,
177
+ "learning_rate": 0.0002926735666938016,
178
+ "loss": 0.9941,
179
+ "step": 520
180
+ },
181
+ {
182
+ "epoch": 0.09,
183
+ "learning_rate": 0.00029232468891731594,
184
+ "loss": 0.9812,
185
+ "step": 540
186
+ },
187
+ {
188
+ "epoch": 0.1,
189
+ "learning_rate": 0.0002919758111408303,
190
+ "loss": 1.0008,
191
+ "step": 560
192
+ },
193
+ {
194
+ "epoch": 0.1,
195
+ "learning_rate": 0.00029162693336434465,
196
+ "loss": 0.9934,
197
+ "step": 580
198
+ },
199
+ {
200
+ "epoch": 0.1,
201
+ "learning_rate": 0.00029127805558785904,
202
+ "loss": 0.9811,
203
+ "step": 600
204
+ },
205
+ {
206
+ "epoch": 0.1,
207
+ "eval_loss": 0.9793989062309265,
208
+ "eval_runtime": 50.7216,
209
+ "eval_samples_per_second": 39.431,
210
+ "eval_steps_per_second": 1.656,
211
+ "step": 600
212
+ },
213
+ {
214
+ "epoch": 0.11,
215
+ "learning_rate": 0.0002909291778113734,
216
+ "loss": 0.9917,
217
+ "step": 620
218
+ },
219
+ {
220
+ "epoch": 0.11,
221
+ "learning_rate": 0.00029058030003488775,
222
+ "loss": 0.977,
223
+ "step": 640
224
+ },
225
+ {
226
+ "epoch": 0.11,
227
+ "learning_rate": 0.0002902314222584021,
228
+ "loss": 0.9777,
229
+ "step": 660
230
+ },
231
+ {
232
+ "epoch": 0.12,
233
+ "learning_rate": 0.00028988254448191646,
234
+ "loss": 0.9782,
235
+ "step": 680
236
+ },
237
+ {
238
+ "epoch": 0.12,
239
+ "learning_rate": 0.00028953366670543085,
240
+ "loss": 0.9656,
241
+ "step": 700
242
+ },
243
+ {
244
+ "epoch": 0.12,
245
+ "learning_rate": 0.0002891847889289452,
246
+ "loss": 0.9595,
247
+ "step": 720
248
+ },
249
+ {
250
+ "epoch": 0.13,
251
+ "learning_rate": 0.00028883591115245956,
252
+ "loss": 0.9712,
253
+ "step": 740
254
+ },
255
+ {
256
+ "epoch": 0.13,
257
+ "learning_rate": 0.00028848703337597395,
258
+ "loss": 0.9784,
259
+ "step": 760
260
+ },
261
+ {
262
+ "epoch": 0.14,
263
+ "learning_rate": 0.0002881381555994883,
264
+ "loss": 0.9714,
265
+ "step": 780
266
+ },
267
+ {
268
+ "epoch": 0.14,
269
+ "learning_rate": 0.00028778927782300266,
270
+ "loss": 0.9728,
271
+ "step": 800
272
+ },
273
+ {
274
+ "epoch": 0.14,
275
+ "eval_loss": 0.9619740843772888,
276
+ "eval_runtime": 49.3289,
277
+ "eval_samples_per_second": 40.544,
278
+ "eval_steps_per_second": 1.703,
279
+ "step": 800
280
+ },
281
+ {
282
+ "epoch": 0.14,
283
+ "learning_rate": 0.000287440400046517,
284
+ "loss": 0.9684,
285
+ "step": 820
286
+ },
287
+ {
288
+ "epoch": 0.15,
289
+ "learning_rate": 0.0002870915222700314,
290
+ "loss": 0.955,
291
+ "step": 840
292
+ },
293
+ {
294
+ "epoch": 0.15,
295
+ "learning_rate": 0.00028674264449354576,
296
+ "loss": 0.9642,
297
+ "step": 860
298
+ },
299
+ {
300
+ "epoch": 0.15,
301
+ "learning_rate": 0.0002863937667170601,
302
+ "loss": 0.9758,
303
+ "step": 880
304
+ },
305
+ {
306
+ "epoch": 0.16,
307
+ "learning_rate": 0.00028604488894057447,
308
+ "loss": 0.9601,
309
+ "step": 900
310
+ },
311
+ {
312
+ "epoch": 0.16,
313
+ "learning_rate": 0.0002856960111640888,
314
+ "loss": 0.9597,
315
+ "step": 920
316
+ },
317
+ {
318
+ "epoch": 0.16,
319
+ "learning_rate": 0.0002853471333876032,
320
+ "loss": 0.9615,
321
+ "step": 940
322
+ },
323
+ {
324
+ "epoch": 0.17,
325
+ "learning_rate": 0.00028499825561111757,
326
+ "loss": 0.9562,
327
+ "step": 960
328
+ },
329
+ {
330
+ "epoch": 0.17,
331
+ "learning_rate": 0.0002846493778346319,
332
+ "loss": 0.9543,
333
+ "step": 980
334
+ },
335
+ {
336
+ "epoch": 0.17,
337
+ "learning_rate": 0.0002843005000581463,
338
+ "loss": 0.9593,
339
+ "step": 1000
340
+ },
341
+ {
342
+ "epoch": 0.17,
343
+ "eval_loss": 0.9471739530563354,
344
+ "eval_runtime": 49.1237,
345
+ "eval_samples_per_second": 40.714,
346
+ "eval_steps_per_second": 1.71,
347
+ "step": 1000
348
+ },
349
+ {
350
+ "epoch": 0.18,
351
+ "learning_rate": 0.0002839516222816606,
352
+ "loss": 0.9498,
353
+ "step": 1020
354
+ },
355
+ {
356
+ "epoch": 0.18,
357
+ "learning_rate": 0.000283602744505175,
358
+ "loss": 0.9416,
359
+ "step": 1040
360
+ },
361
+ {
362
+ "epoch": 0.18,
363
+ "learning_rate": 0.0002832538667286894,
364
+ "loss": 0.9476,
365
+ "step": 1060
366
+ },
367
+ {
368
+ "epoch": 0.19,
369
+ "learning_rate": 0.0002829049889522037,
370
+ "loss": 0.9486,
371
+ "step": 1080
372
+ },
373
+ {
374
+ "epoch": 0.19,
375
+ "learning_rate": 0.0002825561111757181,
376
+ "loss": 0.9581,
377
+ "step": 1100
378
+ },
379
+ {
380
+ "epoch": 0.19,
381
+ "learning_rate": 0.0002822072333992325,
382
+ "loss": 0.9429,
383
+ "step": 1120
384
+ },
385
+ {
386
+ "epoch": 0.2,
387
+ "learning_rate": 0.0002818583556227468,
388
+ "loss": 0.9513,
389
+ "step": 1140
390
+ },
391
+ {
392
+ "epoch": 0.2,
393
+ "learning_rate": 0.00028150947784626114,
394
+ "loss": 0.9489,
395
+ "step": 1160
396
+ },
397
+ {
398
+ "epoch": 0.2,
399
+ "learning_rate": 0.0002811606000697755,
400
+ "loss": 0.9384,
401
+ "step": 1180
402
+ },
403
+ {
404
+ "epoch": 0.21,
405
+ "learning_rate": 0.0002808117222932899,
406
+ "loss": 0.9496,
407
+ "step": 1200
408
+ },
409
+ {
410
+ "epoch": 0.21,
411
+ "eval_loss": 0.9367659687995911,
412
+ "eval_runtime": 48.936,
413
+ "eval_samples_per_second": 40.87,
414
+ "eval_steps_per_second": 1.717,
415
+ "step": 1200
416
+ },
417
+ {
418
+ "epoch": 0.21,
419
+ "learning_rate": 0.00028046284451680424,
420
+ "loss": 0.941,
421
+ "step": 1220
422
+ },
423
+ {
424
+ "epoch": 0.22,
425
+ "learning_rate": 0.0002801139667403186,
426
+ "loss": 0.94,
427
+ "step": 1240
428
+ },
429
+ {
430
+ "epoch": 0.22,
431
+ "learning_rate": 0.00027976508896383295,
432
+ "loss": 0.9349,
433
+ "step": 1260
434
+ },
435
+ {
436
+ "epoch": 0.22,
437
+ "learning_rate": 0.00027941621118734734,
438
+ "loss": 0.9378,
439
+ "step": 1280
440
+ },
441
+ {
442
+ "epoch": 0.23,
443
+ "learning_rate": 0.0002790673334108617,
444
+ "loss": 0.9361,
445
+ "step": 1300
446
+ },
447
+ {
448
+ "epoch": 0.23,
449
+ "learning_rate": 0.00027871845563437605,
450
+ "loss": 0.9426,
451
+ "step": 1320
452
+ },
453
+ {
454
+ "epoch": 0.23,
455
+ "learning_rate": 0.00027836957785789043,
456
+ "loss": 0.9427,
457
+ "step": 1340
458
+ },
459
+ {
460
+ "epoch": 0.24,
461
+ "learning_rate": 0.00027802070008140476,
462
+ "loss": 0.9339,
463
+ "step": 1360
464
+ },
465
+ {
466
+ "epoch": 0.24,
467
+ "learning_rate": 0.00027767182230491915,
468
+ "loss": 0.9313,
469
+ "step": 1380
470
+ },
471
+ {
472
+ "epoch": 0.24,
473
+ "learning_rate": 0.00027732294452843353,
474
+ "loss": 0.9308,
475
+ "step": 1400
476
+ },
477
+ {
478
+ "epoch": 0.24,
479
+ "eval_loss": 0.9267547726631165,
480
+ "eval_runtime": 49.2408,
481
+ "eval_samples_per_second": 40.617,
482
+ "eval_steps_per_second": 1.706,
483
+ "step": 1400
484
+ },
485
+ {
486
+ "epoch": 0.25,
487
+ "learning_rate": 0.00027697406675194786,
488
+ "loss": 0.9299,
489
+ "step": 1420
490
+ },
491
+ {
492
+ "epoch": 0.25,
493
+ "learning_rate": 0.00027662518897546225,
494
+ "loss": 0.9334,
495
+ "step": 1440
496
+ },
497
+ {
498
+ "epoch": 0.25,
499
+ "learning_rate": 0.0002762763111989766,
500
+ "loss": 0.9264,
501
+ "step": 1460
502
+ },
503
+ {
504
+ "epoch": 0.26,
505
+ "learning_rate": 0.00027592743342249096,
506
+ "loss": 0.9175,
507
+ "step": 1480
508
+ },
509
+ {
510
+ "epoch": 0.26,
511
+ "learning_rate": 0.00027557855564600535,
512
+ "loss": 0.9376,
513
+ "step": 1500
514
+ },
515
+ {
516
+ "epoch": 0.26,
517
+ "learning_rate": 0.0002752296778695197,
518
+ "loss": 0.9273,
519
+ "step": 1520
520
+ },
521
+ {
522
+ "epoch": 0.27,
523
+ "learning_rate": 0.00027488080009303406,
524
+ "loss": 0.9319,
525
+ "step": 1540
526
+ },
527
+ {
528
+ "epoch": 0.27,
529
+ "learning_rate": 0.00027453192231654844,
530
+ "loss": 0.9261,
531
+ "step": 1560
532
+ },
533
+ {
534
+ "epoch": 0.27,
535
+ "learning_rate": 0.0002741830445400628,
536
+ "loss": 0.9246,
537
+ "step": 1580
538
+ },
539
+ {
540
+ "epoch": 0.28,
541
+ "learning_rate": 0.00027383416676357716,
542
+ "loss": 0.9249,
543
+ "step": 1600
544
+ },
545
+ {
546
+ "epoch": 0.28,
547
+ "eval_loss": 0.9193373322486877,
548
+ "eval_runtime": 49.234,
549
+ "eval_samples_per_second": 40.622,
550
+ "eval_steps_per_second": 1.706,
551
+ "step": 1600
552
+ },
553
+ {
554
+ "epoch": 0.28,
555
+ "learning_rate": 0.0002734852889870915,
556
+ "loss": 0.9114,
557
+ "step": 1620
558
+ },
559
+ {
560
+ "epoch": 0.28,
561
+ "learning_rate": 0.00027313641121060587,
562
+ "loss": 0.9314,
563
+ "step": 1640
564
+ },
565
+ {
566
+ "epoch": 0.29,
567
+ "learning_rate": 0.00027278753343412026,
568
+ "loss": 0.9225,
569
+ "step": 1660
570
+ },
571
+ {
572
+ "epoch": 0.29,
573
+ "learning_rate": 0.0002724386556576346,
574
+ "loss": 0.9265,
575
+ "step": 1680
576
+ },
577
+ {
578
+ "epoch": 0.29,
579
+ "learning_rate": 0.0002720897778811489,
580
+ "loss": 0.9223,
581
+ "step": 1700
582
+ },
583
+ {
584
+ "epoch": 0.3,
585
+ "learning_rate": 0.0002717409001046633,
586
+ "loss": 0.9105,
587
+ "step": 1720
588
+ },
589
+ {
590
+ "epoch": 0.3,
591
+ "learning_rate": 0.0002713920223281777,
592
+ "loss": 0.9241,
593
+ "step": 1740
594
+ },
595
+ {
596
+ "epoch": 0.31,
597
+ "learning_rate": 0.000271043144551692,
598
+ "loss": 0.9176,
599
+ "step": 1760
600
+ },
601
+ {
602
+ "epoch": 0.31,
603
+ "learning_rate": 0.0002706942667752064,
604
+ "loss": 0.9254,
605
+ "step": 1780
606
+ },
607
+ {
608
+ "epoch": 0.31,
609
+ "learning_rate": 0.00027034538899872073,
610
+ "loss": 0.9225,
611
+ "step": 1800
612
+ },
613
+ {
614
+ "epoch": 0.31,
615
+ "eval_loss": 0.9116300344467163,
616
+ "eval_runtime": 49.2973,
617
+ "eval_samples_per_second": 40.57,
618
+ "eval_steps_per_second": 1.704,
619
+ "step": 1800
620
+ },
621
+ {
622
+ "epoch": 0.32,
623
+ "learning_rate": 0.0002699965112222351,
624
+ "loss": 0.9097,
625
+ "step": 1820
626
+ },
627
+ {
628
+ "epoch": 0.32,
629
+ "learning_rate": 0.0002696476334457495,
630
+ "loss": 0.9224,
631
+ "step": 1840
632
+ },
633
+ {
634
+ "epoch": 0.32,
635
+ "learning_rate": 0.0002692987556692638,
636
+ "loss": 0.921,
637
+ "step": 1860
638
+ },
639
+ {
640
+ "epoch": 0.33,
641
+ "learning_rate": 0.0002689498778927782,
642
+ "loss": 0.9143,
643
+ "step": 1880
644
+ },
645
+ {
646
+ "epoch": 0.33,
647
+ "learning_rate": 0.00026860100011629254,
648
+ "loss": 0.9144,
649
+ "step": 1900
650
+ },
651
+ {
652
+ "epoch": 0.33,
653
+ "learning_rate": 0.0002682521223398069,
654
+ "loss": 0.9129,
655
+ "step": 1920
656
+ },
657
+ {
658
+ "epoch": 0.34,
659
+ "learning_rate": 0.0002679032445633213,
660
+ "loss": 0.9124,
661
+ "step": 1940
662
+ },
663
+ {
664
+ "epoch": 0.34,
665
+ "learning_rate": 0.00026755436678683564,
666
+ "loss": 0.9107,
667
+ "step": 1960
668
+ },
669
+ {
670
+ "epoch": 0.34,
671
+ "learning_rate": 0.00026720548901035,
672
+ "loss": 0.9123,
673
+ "step": 1980
674
+ },
675
+ {
676
+ "epoch": 0.35,
677
+ "learning_rate": 0.0002668566112338644,
678
+ "loss": 0.9081,
679
+ "step": 2000
680
+ },
681
+ {
682
+ "epoch": 0.35,
683
+ "eval_loss": 0.9067729115486145,
684
+ "eval_runtime": 49.6863,
685
+ "eval_samples_per_second": 40.253,
686
+ "eval_steps_per_second": 1.691,
687
+ "step": 2000
688
+ },
689
+ {
690
+ "epoch": 0.35,
691
+ "learning_rate": 0.00026650773345737874,
692
+ "loss": 0.9066,
693
+ "step": 2020
694
+ },
695
+ {
696
+ "epoch": 0.35,
697
+ "learning_rate": 0.0002661588556808931,
698
+ "loss": 0.9063,
699
+ "step": 2040
700
+ },
701
+ {
702
+ "epoch": 0.36,
703
+ "learning_rate": 0.00026580997790440745,
704
+ "loss": 0.913,
705
+ "step": 2060
706
+ },
707
+ {
708
+ "epoch": 0.36,
709
+ "learning_rate": 0.00026546110012792183,
710
+ "loss": 0.9131,
711
+ "step": 2080
712
+ },
713
+ {
714
+ "epoch": 0.36,
715
+ "learning_rate": 0.0002651122223514362,
716
+ "loss": 0.9071,
717
+ "step": 2100
718
+ },
719
+ {
720
+ "epoch": 0.37,
721
+ "learning_rate": 0.00026476334457495055,
722
+ "loss": 0.9076,
723
+ "step": 2120
724
+ },
725
+ {
726
+ "epoch": 0.37,
727
+ "learning_rate": 0.00026441446679846493,
728
+ "loss": 0.9184,
729
+ "step": 2140
730
+ },
731
+ {
732
+ "epoch": 0.37,
733
+ "learning_rate": 0.00026406558902197926,
734
+ "loss": 0.9082,
735
+ "step": 2160
736
+ },
737
+ {
738
+ "epoch": 0.38,
739
+ "learning_rate": 0.00026371671124549365,
740
+ "loss": 0.9151,
741
+ "step": 2180
742
+ },
743
+ {
744
+ "epoch": 0.38,
745
+ "learning_rate": 0.00026336783346900803,
746
+ "loss": 0.9214,
747
+ "step": 2200
748
+ },
749
+ {
750
+ "epoch": 0.38,
751
+ "eval_loss": 0.901930034160614,
752
+ "eval_runtime": 49.1887,
753
+ "eval_samples_per_second": 40.66,
754
+ "eval_steps_per_second": 1.708,
755
+ "step": 2200
756
+ },
757
+ {
758
+ "epoch": 0.38,
759
+ "learning_rate": 0.00026301895569252236,
760
+ "loss": 0.9065,
761
+ "step": 2220
762
+ },
763
+ {
764
+ "epoch": 0.39,
765
+ "learning_rate": 0.0002626700779160367,
766
+ "loss": 0.9105,
767
+ "step": 2240
768
+ },
769
+ {
770
+ "epoch": 0.39,
771
+ "learning_rate": 0.0002623212001395511,
772
+ "loss": 0.8953,
773
+ "step": 2260
774
+ },
775
+ {
776
+ "epoch": 0.4,
777
+ "learning_rate": 0.00026197232236306546,
778
+ "loss": 0.9041,
779
+ "step": 2280
780
+ },
781
+ {
782
+ "epoch": 0.4,
783
+ "learning_rate": 0.0002616234445865798,
784
+ "loss": 0.8988,
785
+ "step": 2300
786
+ },
787
+ {
788
+ "epoch": 0.4,
789
+ "learning_rate": 0.0002612745668100942,
790
+ "loss": 0.9124,
791
+ "step": 2320
792
+ },
793
+ {
794
+ "epoch": 0.41,
795
+ "learning_rate": 0.0002609256890336085,
796
+ "loss": 0.9042,
797
+ "step": 2340
798
+ },
799
+ {
800
+ "epoch": 0.41,
801
+ "learning_rate": 0.0002605768112571229,
802
+ "loss": 0.9154,
803
+ "step": 2360
804
+ },
805
+ {
806
+ "epoch": 0.41,
807
+ "learning_rate": 0.00026022793348063727,
808
+ "loss": 0.9015,
809
+ "step": 2380
810
+ },
811
+ {
812
+ "epoch": 0.42,
813
+ "learning_rate": 0.0002598790557041516,
814
+ "loss": 0.9015,
815
+ "step": 2400
816
+ },
817
+ {
818
+ "epoch": 0.42,
819
+ "eval_loss": 0.8977901935577393,
820
+ "eval_runtime": 50.3787,
821
+ "eval_samples_per_second": 39.699,
822
+ "eval_steps_per_second": 1.667,
823
+ "step": 2400
824
+ },
825
+ {
826
+ "epoch": 0.42,
827
+ "learning_rate": 0.000259530177927666,
828
+ "loss": 0.8981,
829
+ "step": 2420
830
+ },
831
+ {
832
+ "epoch": 0.42,
833
+ "learning_rate": 0.00025918130015118037,
834
+ "loss": 0.8962,
835
+ "step": 2440
836
+ },
837
+ {
838
+ "epoch": 0.43,
839
+ "learning_rate": 0.0002588324223746947,
840
+ "loss": 0.8933,
841
+ "step": 2460
842
+ },
843
+ {
844
+ "epoch": 0.43,
845
+ "learning_rate": 0.0002584835445982091,
846
+ "loss": 0.8962,
847
+ "step": 2480
848
+ },
849
+ {
850
+ "epoch": 0.43,
851
+ "learning_rate": 0.0002581346668217234,
852
+ "loss": 0.8951,
853
+ "step": 2500
854
+ },
855
+ {
856
+ "epoch": 0.44,
857
+ "learning_rate": 0.0002577857890452378,
858
+ "loss": 0.898,
859
+ "step": 2520
860
+ },
861
+ {
862
+ "epoch": 0.44,
863
+ "learning_rate": 0.0002574369112687522,
864
+ "loss": 0.9002,
865
+ "step": 2540
866
+ },
867
+ {
868
+ "epoch": 0.44,
869
+ "learning_rate": 0.0002570880334922665,
870
+ "loss": 0.896,
871
+ "step": 2560
872
+ },
873
+ {
874
+ "epoch": 0.45,
875
+ "learning_rate": 0.0002567391557157809,
876
+ "loss": 0.9062,
877
+ "step": 2580
878
+ },
879
+ {
880
+ "epoch": 0.45,
881
+ "learning_rate": 0.0002563902779392952,
882
+ "loss": 0.8962,
883
+ "step": 2600
884
+ },
885
+ {
886
+ "epoch": 0.45,
887
+ "eval_loss": 0.8936859369277954,
888
+ "eval_runtime": 49.4977,
889
+ "eval_samples_per_second": 40.406,
890
+ "eval_steps_per_second": 1.697,
891
+ "step": 2600
892
+ },
893
+ {
894
+ "epoch": 0.45,
895
+ "learning_rate": 0.0002560414001628096,
896
+ "loss": 0.8948,
897
+ "step": 2620
898
+ },
899
+ {
900
+ "epoch": 0.46,
901
+ "learning_rate": 0.000255692522386324,
902
+ "loss": 0.9002,
903
+ "step": 2640
904
+ },
905
+ {
906
+ "epoch": 0.46,
907
+ "learning_rate": 0.0002553436446098383,
908
+ "loss": 0.8956,
909
+ "step": 2660
910
+ },
911
+ {
912
+ "epoch": 0.46,
913
+ "learning_rate": 0.0002549947668333527,
914
+ "loss": 0.8972,
915
+ "step": 2680
916
+ },
917
+ {
918
+ "epoch": 0.47,
919
+ "learning_rate": 0.0002546458890568671,
920
+ "loss": 0.8883,
921
+ "step": 2700
922
+ },
923
+ {
924
+ "epoch": 0.47,
925
+ "learning_rate": 0.0002542970112803814,
926
+ "loss": 0.9009,
927
+ "step": 2720
928
+ },
929
+ {
930
+ "epoch": 0.48,
931
+ "learning_rate": 0.00025394813350389575,
932
+ "loss": 0.8969,
933
+ "step": 2740
934
+ },
935
+ {
936
+ "epoch": 0.48,
937
+ "learning_rate": 0.00025359925572741014,
938
+ "loss": 0.8963,
939
+ "step": 2760
940
+ },
941
+ {
942
+ "epoch": 0.48,
943
+ "learning_rate": 0.00025325037795092447,
944
+ "loss": 0.8868,
945
+ "step": 2780
946
+ },
947
+ {
948
+ "epoch": 0.49,
949
+ "learning_rate": 0.00025290150017443885,
950
+ "loss": 0.8945,
951
+ "step": 2800
952
+ },
953
+ {
954
+ "epoch": 0.49,
955
+ "eval_loss": 0.8895061612129211,
956
+ "eval_runtime": 49.4815,
957
+ "eval_samples_per_second": 40.419,
958
+ "eval_steps_per_second": 1.698,
959
+ "step": 2800
960
+ },
961
+ {
962
+ "epoch": 0.49,
963
+ "learning_rate": 0.00025255262239795323,
964
+ "loss": 0.8915,
965
+ "step": 2820
966
+ },
967
+ {
968
+ "epoch": 0.49,
969
+ "learning_rate": 0.00025220374462146756,
970
+ "loss": 0.8965,
971
+ "step": 2840
972
+ },
973
+ {
974
+ "epoch": 0.5,
975
+ "learning_rate": 0.00025185486684498195,
976
+ "loss": 0.8934,
977
+ "step": 2860
978
+ },
979
+ {
980
+ "epoch": 0.5,
981
+ "learning_rate": 0.00025150598906849633,
982
+ "loss": 0.8904,
983
+ "step": 2880
984
+ },
985
+ {
986
+ "epoch": 0.5,
987
+ "learning_rate": 0.00025115711129201066,
988
+ "loss": 0.8974,
989
+ "step": 2900
990
+ },
991
+ {
992
+ "epoch": 0.51,
993
+ "learning_rate": 0.00025080823351552505,
994
+ "loss": 0.8851,
995
+ "step": 2920
996
+ },
997
+ {
998
+ "epoch": 0.51,
999
+ "learning_rate": 0.0002504593557390394,
1000
+ "loss": 0.8883,
1001
+ "step": 2940
1002
+ },
1003
+ {
1004
+ "epoch": 0.51,
1005
+ "learning_rate": 0.00025011047796255376,
1006
+ "loss": 0.8898,
1007
+ "step": 2960
1008
+ },
1009
+ {
1010
+ "epoch": 0.52,
1011
+ "learning_rate": 0.00024976160018606815,
1012
+ "loss": 0.8916,
1013
+ "step": 2980
1014
+ },
1015
+ {
1016
+ "epoch": 0.52,
1017
+ "learning_rate": 0.0002494127224095825,
1018
+ "loss": 0.8891,
1019
+ "step": 3000
1020
+ },
1021
+ {
1022
+ "epoch": 0.52,
1023
+ "eval_loss": 0.885992169380188,
1024
+ "eval_runtime": 50.6986,
1025
+ "eval_samples_per_second": 39.449,
1026
+ "eval_steps_per_second": 1.657,
1027
+ "step": 3000
1028
+ },
1029
+ {
1030
+ "epoch": 0.52,
1031
+ "learning_rate": 0.00024906384463309686,
1032
+ "loss": 0.8866,
1033
+ "step": 3020
1034
+ },
1035
+ {
1036
+ "epoch": 0.53,
1037
+ "learning_rate": 0.0002487149668566112,
1038
+ "loss": 0.887,
1039
+ "step": 3040
1040
+ },
1041
+ {
1042
+ "epoch": 0.53,
1043
+ "learning_rate": 0.0002483660890801256,
1044
+ "loss": 0.8756,
1045
+ "step": 3060
1046
+ },
1047
+ {
1048
+ "epoch": 0.53,
1049
+ "learning_rate": 0.00024801721130363996,
1050
+ "loss": 0.8814,
1051
+ "step": 3080
1052
+ },
1053
+ {
1054
+ "epoch": 0.54,
1055
+ "learning_rate": 0.0002476683335271543,
1056
+ "loss": 0.8766,
1057
+ "step": 3100
1058
+ },
1059
+ {
1060
+ "epoch": 0.54,
1061
+ "learning_rate": 0.00024731945575066867,
1062
+ "loss": 0.887,
1063
+ "step": 3120
1064
+ },
1065
+ {
1066
+ "epoch": 0.54,
1067
+ "learning_rate": 0.00024697057797418306,
1068
+ "loss": 0.8901,
1069
+ "step": 3140
1070
+ },
1071
+ {
1072
+ "epoch": 0.55,
1073
+ "learning_rate": 0.0002466217001976974,
1074
+ "loss": 0.8807,
1075
+ "step": 3160
1076
+ },
1077
+ {
1078
+ "epoch": 0.55,
1079
+ "learning_rate": 0.00024627282242121177,
1080
+ "loss": 0.8927,
1081
+ "step": 3180
1082
+ },
1083
+ {
1084
+ "epoch": 0.55,
1085
+ "learning_rate": 0.0002459239446447261,
1086
+ "loss": 0.89,
1087
+ "step": 3200
1088
+ },
1089
+ {
1090
+ "epoch": 0.55,
1091
+ "eval_loss": 0.8836617469787598,
1092
+ "eval_runtime": 49.351,
1093
+ "eval_samples_per_second": 40.526,
1094
+ "eval_steps_per_second": 1.702,
1095
+ "step": 3200
1096
+ },
1097
+ {
1098
+ "epoch": 0.56,
1099
+ "learning_rate": 0.00024557506686824043,
1100
+ "loss": 0.892,
1101
+ "step": 3220
1102
+ },
1103
+ {
1104
+ "epoch": 0.56,
1105
+ "learning_rate": 0.00024522618909175487,
1106
+ "loss": 0.8862,
1107
+ "step": 3240
1108
+ },
1109
+ {
1110
+ "epoch": 0.57,
1111
+ "learning_rate": 0.0002448773113152692,
1112
+ "loss": 0.8843,
1113
+ "step": 3260
1114
+ },
1115
+ {
1116
+ "epoch": 0.57,
1117
+ "learning_rate": 0.00024452843353878353,
1118
+ "loss": 0.8812,
1119
+ "step": 3280
1120
+ },
1121
+ {
1122
+ "epoch": 0.57,
1123
+ "learning_rate": 0.0002441795557622979,
1124
+ "loss": 0.8905,
1125
+ "step": 3300
1126
+ },
1127
+ {
1128
+ "epoch": 0.58,
1129
+ "learning_rate": 0.0002438306779858123,
1130
+ "loss": 0.8858,
1131
+ "step": 3320
1132
+ },
1133
+ {
1134
+ "epoch": 0.58,
1135
+ "learning_rate": 0.00024348180020932665,
1136
+ "loss": 0.8768,
1137
+ "step": 3340
1138
+ },
1139
+ {
1140
+ "epoch": 0.58,
1141
+ "learning_rate": 0.000243132922432841,
1142
+ "loss": 0.8765,
1143
+ "step": 3360
1144
+ },
1145
+ {
1146
+ "epoch": 0.59,
1147
+ "learning_rate": 0.00024278404465635537,
1148
+ "loss": 0.8889,
1149
+ "step": 3380
1150
+ },
1151
+ {
1152
+ "epoch": 0.59,
1153
+ "learning_rate": 0.00024243516687986975,
1154
+ "loss": 0.883,
1155
+ "step": 3400
1156
+ },
1157
+ {
1158
+ "epoch": 0.59,
1159
+ "eval_loss": 0.8804351091384888,
1160
+ "eval_runtime": 50.8292,
1161
+ "eval_samples_per_second": 39.347,
1162
+ "eval_steps_per_second": 1.653,
1163
+ "step": 3400
1164
+ },
1165
+ {
1166
+ "epoch": 0.59,
1167
+ "learning_rate": 0.0002420862891033841,
1168
+ "loss": 0.8861,
1169
+ "step": 3420
1170
+ },
1171
+ {
1172
+ "epoch": 0.6,
1173
+ "learning_rate": 0.00024173741132689847,
1174
+ "loss": 0.8889,
1175
+ "step": 3440
1176
+ },
1177
+ {
1178
+ "epoch": 0.6,
1179
+ "learning_rate": 0.00024138853355041282,
1180
+ "loss": 0.897,
1181
+ "step": 3460
1182
+ },
1183
+ {
1184
+ "epoch": 0.6,
1185
+ "learning_rate": 0.00024103965577392715,
1186
+ "loss": 0.8901,
1187
+ "step": 3480
1188
+ },
1189
+ {
1190
+ "epoch": 0.61,
1191
+ "learning_rate": 0.00024069077799744156,
1192
+ "loss": 0.8895,
1193
+ "step": 3500
1194
+ },
1195
+ {
1196
+ "epoch": 0.61,
1197
+ "learning_rate": 0.00024034190022095592,
1198
+ "loss": 0.8863,
1199
+ "step": 3520
1200
+ },
1201
+ {
1202
+ "epoch": 0.61,
1203
+ "learning_rate": 0.00023999302244447025,
1204
+ "loss": 0.8852,
1205
+ "step": 3540
1206
+ },
1207
+ {
1208
+ "epoch": 0.62,
1209
+ "learning_rate": 0.0002396441446679846,
1210
+ "loss": 0.8842,
1211
+ "step": 3560
1212
+ },
1213
+ {
1214
+ "epoch": 0.62,
1215
+ "learning_rate": 0.000239295266891499,
1216
+ "loss": 0.8843,
1217
+ "step": 3580
1218
+ },
1219
+ {
1220
+ "epoch": 0.62,
1221
+ "learning_rate": 0.00023894638911501335,
1222
+ "loss": 0.8803,
1223
+ "step": 3600
1224
+ },
1225
+ {
1226
+ "epoch": 0.62,
1227
+ "eval_loss": 0.8769158720970154,
1228
+ "eval_runtime": 49.0911,
1229
+ "eval_samples_per_second": 40.741,
1230
+ "eval_steps_per_second": 1.711,
1231
+ "step": 3600
1232
+ },
1233
+ {
1234
+ "epoch": 0.63,
1235
+ "learning_rate": 0.0002385975113385277,
1236
+ "loss": 0.8869,
1237
+ "step": 3620
1238
+ },
1239
+ {
1240
+ "epoch": 0.63,
1241
+ "learning_rate": 0.00023824863356204206,
1242
+ "loss": 0.8786,
1243
+ "step": 3640
1244
+ },
1245
+ {
1246
+ "epoch": 0.63,
1247
+ "learning_rate": 0.00023789975578555642,
1248
+ "loss": 0.8761,
1249
+ "step": 3660
1250
+ },
1251
+ {
1252
+ "epoch": 0.64,
1253
+ "learning_rate": 0.0002375508780090708,
1254
+ "loss": 0.8811,
1255
+ "step": 3680
1256
+ },
1257
+ {
1258
+ "epoch": 0.64,
1259
+ "learning_rate": 0.00023720200023258516,
1260
+ "loss": 0.8815,
1261
+ "step": 3700
1262
+ },
1263
+ {
1264
+ "epoch": 0.65,
1265
+ "learning_rate": 0.00023685312245609952,
1266
+ "loss": 0.8782,
1267
+ "step": 3720
1268
+ },
1269
+ {
1270
+ "epoch": 0.65,
1271
+ "learning_rate": 0.00023650424467961387,
1272
+ "loss": 0.8868,
1273
+ "step": 3740
1274
+ },
1275
+ {
1276
+ "epoch": 0.65,
1277
+ "learning_rate": 0.00023615536690312826,
1278
+ "loss": 0.8804,
1279
+ "step": 3760
1280
+ },
1281
+ {
1282
+ "epoch": 0.66,
1283
+ "learning_rate": 0.00023580648912664262,
1284
+ "loss": 0.8754,
1285
+ "step": 3780
1286
+ },
1287
+ {
1288
+ "epoch": 0.66,
1289
+ "learning_rate": 0.00023545761135015697,
1290
+ "loss": 0.8826,
1291
+ "step": 3800
1292
+ },
1293
+ {
1294
+ "epoch": 0.66,
1295
+ "eval_loss": 0.8761597871780396,
1296
+ "eval_runtime": 49.3308,
1297
+ "eval_samples_per_second": 40.543,
1298
+ "eval_steps_per_second": 1.703,
1299
+ "step": 3800
1300
+ },
1301
+ {
1302
+ "epoch": 0.66,
1303
+ "learning_rate": 0.00023510873357367133,
1304
+ "loss": 0.8835,
1305
+ "step": 3820
1306
+ },
1307
+ {
1308
+ "epoch": 0.67,
1309
+ "learning_rate": 0.00023475985579718571,
1310
+ "loss": 0.8655,
1311
+ "step": 3840
1312
+ },
1313
+ {
1314
+ "epoch": 0.67,
1315
+ "learning_rate": 0.00023441097802070007,
1316
+ "loss": 0.8839,
1317
+ "step": 3860
1318
+ },
1319
+ {
1320
+ "epoch": 0.67,
1321
+ "learning_rate": 0.00023406210024421443,
1322
+ "loss": 0.8814,
1323
+ "step": 3880
1324
+ },
1325
+ {
1326
+ "epoch": 0.68,
1327
+ "learning_rate": 0.00023371322246772879,
1328
+ "loss": 0.8839,
1329
+ "step": 3900
1330
+ },
1331
+ {
1332
+ "epoch": 0.68,
1333
+ "learning_rate": 0.00023336434469124314,
1334
+ "loss": 0.8794,
1335
+ "step": 3920
1336
+ },
1337
+ {
1338
+ "epoch": 0.68,
1339
+ "learning_rate": 0.00023301546691475753,
1340
+ "loss": 0.8755,
1341
+ "step": 3940
1342
+ },
1343
+ {
1344
+ "epoch": 0.69,
1345
+ "learning_rate": 0.00023266658913827188,
1346
+ "loss": 0.8771,
1347
+ "step": 3960
1348
+ },
1349
+ {
1350
+ "epoch": 0.69,
1351
+ "learning_rate": 0.00023231771136178624,
1352
+ "loss": 0.8731,
1353
+ "step": 3980
1354
+ },
1355
+ {
1356
+ "epoch": 0.69,
1357
+ "learning_rate": 0.0002319688335853006,
1358
+ "loss": 0.8764,
1359
+ "step": 4000
1360
+ },
1361
+ {
1362
+ "epoch": 0.69,
1363
+ "eval_loss": 0.8736156225204468,
1364
+ "eval_runtime": 50.6647,
1365
+ "eval_samples_per_second": 39.475,
1366
+ "eval_steps_per_second": 1.658,
1367
+ "step": 4000
1368
+ },
1369
+ {
1370
+ "epoch": 0.7,
1371
+ "learning_rate": 0.00023161995580881498,
1372
+ "loss": 0.8821,
1373
+ "step": 4020
1374
+ },
1375
+ {
1376
+ "epoch": 0.7,
1377
+ "learning_rate": 0.00023127107803232934,
1378
+ "loss": 0.8791,
1379
+ "step": 4040
1380
+ },
1381
+ {
1382
+ "epoch": 0.7,
1383
+ "learning_rate": 0.00023092220025584367,
1384
+ "loss": 0.8841,
1385
+ "step": 4060
1386
+ },
1387
+ {
1388
+ "epoch": 0.71,
1389
+ "learning_rate": 0.00023057332247935803,
1390
+ "loss": 0.8718,
1391
+ "step": 4080
1392
+ },
1393
+ {
1394
+ "epoch": 0.71,
1395
+ "learning_rate": 0.00023022444470287238,
1396
+ "loss": 0.8731,
1397
+ "step": 4100
1398
+ },
1399
+ {
1400
+ "epoch": 0.71,
1401
+ "learning_rate": 0.00022987556692638677,
1402
+ "loss": 0.8805,
1403
+ "step": 4120
1404
+ },
1405
+ {
1406
+ "epoch": 0.72,
1407
+ "learning_rate": 0.00022952668914990112,
1408
+ "loss": 0.8821,
1409
+ "step": 4140
1410
+ },
1411
+ {
1412
+ "epoch": 0.72,
1413
+ "learning_rate": 0.00022917781137341548,
1414
+ "loss": 0.8669,
1415
+ "step": 4160
1416
+ },
1417
+ {
1418
+ "epoch": 0.72,
1419
+ "learning_rate": 0.00022882893359692984,
1420
+ "loss": 0.8701,
1421
+ "step": 4180
1422
+ },
1423
+ {
1424
+ "epoch": 0.73,
1425
+ "learning_rate": 0.00022848005582044422,
1426
+ "loss": 0.862,
1427
+ "step": 4200
1428
+ },
1429
+ {
1430
+ "epoch": 0.73,
1431
+ "eval_loss": 0.8710012435913086,
1432
+ "eval_runtime": 49.64,
1433
+ "eval_samples_per_second": 40.29,
1434
+ "eval_steps_per_second": 1.692,
1435
+ "step": 4200
1436
+ },
1437
+ {
1438
+ "epoch": 0.73,
1439
+ "learning_rate": 0.00022813117804395858,
1440
+ "loss": 0.8716,
1441
+ "step": 4220
1442
+ },
1443
+ {
1444
+ "epoch": 0.74,
1445
+ "learning_rate": 0.00022778230026747294,
1446
+ "loss": 0.8708,
1447
+ "step": 4240
1448
+ },
1449
+ {
1450
+ "epoch": 0.74,
1451
+ "learning_rate": 0.0002274334224909873,
1452
+ "loss": 0.8668,
1453
+ "step": 4260
1454
+ },
1455
+ {
1456
+ "epoch": 0.74,
1457
+ "learning_rate": 0.00022708454471450168,
1458
+ "loss": 0.8691,
1459
+ "step": 4280
1460
+ },
1461
+ {
1462
+ "epoch": 0.75,
1463
+ "learning_rate": 0.00022673566693801603,
1464
+ "loss": 0.874,
1465
+ "step": 4300
1466
+ },
1467
+ {
1468
+ "epoch": 0.75,
1469
+ "learning_rate": 0.0002263867891615304,
1470
+ "loss": 0.8688,
1471
+ "step": 4320
1472
+ },
1473
+ {
1474
+ "epoch": 0.75,
1475
+ "learning_rate": 0.00022603791138504475,
1476
+ "loss": 0.8714,
1477
+ "step": 4340
1478
+ },
1479
+ {
1480
+ "epoch": 0.76,
1481
+ "learning_rate": 0.0002256890336085591,
1482
+ "loss": 0.8694,
1483
+ "step": 4360
1484
+ },
1485
+ {
1486
+ "epoch": 0.76,
1487
+ "learning_rate": 0.0002253401558320735,
1488
+ "loss": 0.8733,
1489
+ "step": 4380
1490
+ },
1491
+ {
1492
+ "epoch": 0.76,
1493
+ "learning_rate": 0.00022499127805558785,
1494
+ "loss": 0.8798,
1495
+ "step": 4400
1496
+ },
1497
+ {
1498
+ "epoch": 0.76,
1499
+ "eval_loss": 0.869438886642456,
1500
+ "eval_runtime": 50.0009,
1501
+ "eval_samples_per_second": 39.999,
1502
+ "eval_steps_per_second": 1.68,
1503
+ "step": 4400
1504
+ },
1505
+ {
1506
+ "epoch": 0.77,
1507
+ "learning_rate": 0.0002246424002791022,
1508
+ "loss": 0.8599,
1509
+ "step": 4420
1510
+ },
1511
+ {
1512
+ "epoch": 0.77,
1513
+ "learning_rate": 0.00022429352250261656,
1514
+ "loss": 0.8733,
1515
+ "step": 4440
1516
+ },
1517
+ {
1518
+ "epoch": 0.77,
1519
+ "learning_rate": 0.00022394464472613094,
1520
+ "loss": 0.8748,
1521
+ "step": 4460
1522
+ },
1523
+ {
1524
+ "epoch": 0.78,
1525
+ "learning_rate": 0.0002235957669496453,
1526
+ "loss": 0.8764,
1527
+ "step": 4480
1528
+ },
1529
+ {
1530
+ "epoch": 0.78,
1531
+ "learning_rate": 0.00022324688917315966,
1532
+ "loss": 0.865,
1533
+ "step": 4500
1534
+ },
1535
+ {
1536
+ "epoch": 0.78,
1537
+ "learning_rate": 0.00022289801139667402,
1538
+ "loss": 0.8663,
1539
+ "step": 4520
1540
+ },
1541
+ {
1542
+ "epoch": 0.79,
1543
+ "learning_rate": 0.00022254913362018835,
1544
+ "loss": 0.8738,
1545
+ "step": 4540
1546
+ },
1547
+ {
1548
+ "epoch": 0.79,
1549
+ "learning_rate": 0.00022220025584370276,
1550
+ "loss": 0.8611,
1551
+ "step": 4560
1552
+ },
1553
+ {
1554
+ "epoch": 0.79,
1555
+ "learning_rate": 0.0002218513780672171,
1556
+ "loss": 0.8683,
1557
+ "step": 4580
1558
+ },
1559
+ {
1560
+ "epoch": 0.8,
1561
+ "learning_rate": 0.00022150250029073144,
1562
+ "loss": 0.8725,
1563
+ "step": 4600
1564
+ },
1565
+ {
1566
+ "epoch": 0.8,
1567
+ "eval_loss": 0.8671180605888367,
1568
+ "eval_runtime": 50.2687,
1569
+ "eval_samples_per_second": 39.786,
1570
+ "eval_steps_per_second": 1.671,
1571
+ "step": 4600
1572
+ },
1573
+ {
1574
+ "epoch": 0.8,
1575
+ "learning_rate": 0.0002211536225142458,
1576
+ "loss": 0.8686,
1577
+ "step": 4620
1578
+ },
1579
+ {
1580
+ "epoch": 0.8,
1581
+ "learning_rate": 0.00022080474473776019,
1582
+ "loss": 0.8674,
1583
+ "step": 4640
1584
+ },
1585
+ {
1586
+ "epoch": 0.81,
1587
+ "learning_rate": 0.00022045586696127454,
1588
+ "loss": 0.8657,
1589
+ "step": 4660
1590
+ },
1591
+ {
1592
+ "epoch": 0.81,
1593
+ "learning_rate": 0.0002201069891847889,
1594
+ "loss": 0.8607,
1595
+ "step": 4680
1596
+ },
1597
+ {
1598
+ "epoch": 0.82,
1599
+ "learning_rate": 0.00021975811140830326,
1600
+ "loss": 0.8672,
1601
+ "step": 4700
1602
+ },
1603
+ {
1604
+ "epoch": 0.82,
1605
+ "learning_rate": 0.00021940923363181764,
1606
+ "loss": 0.8603,
1607
+ "step": 4720
1608
+ },
1609
+ {
1610
+ "epoch": 0.82,
1611
+ "learning_rate": 0.000219060355855332,
1612
+ "loss": 0.8672,
1613
+ "step": 4740
1614
+ },
1615
+ {
1616
+ "epoch": 0.83,
1617
+ "learning_rate": 0.00021871147807884635,
1618
+ "loss": 0.8659,
1619
+ "step": 4760
1620
+ },
1621
+ {
1622
+ "epoch": 0.83,
1623
+ "learning_rate": 0.0002183626003023607,
1624
+ "loss": 0.8638,
1625
+ "step": 4780
1626
+ },
1627
+ {
1628
+ "epoch": 0.83,
1629
+ "learning_rate": 0.00021801372252587507,
1630
+ "loss": 0.8776,
1631
+ "step": 4800
1632
+ },
1633
+ {
1634
+ "epoch": 0.83,
1635
+ "eval_loss": 0.8659985065460205,
1636
+ "eval_runtime": 49.0999,
1637
+ "eval_samples_per_second": 40.733,
1638
+ "eval_steps_per_second": 1.711,
1639
+ "step": 4800
1640
+ },
1641
+ {
1642
+ "epoch": 0.84,
1643
+ "learning_rate": 0.00021766484474938945,
1644
+ "loss": 0.8714,
1645
+ "step": 4820
1646
+ },
1647
+ {
1648
+ "epoch": 0.84,
1649
+ "learning_rate": 0.0002173159669729038,
1650
+ "loss": 0.8786,
1651
+ "step": 4840
1652
+ },
1653
+ {
1654
+ "epoch": 0.84,
1655
+ "learning_rate": 0.00021696708919641817,
1656
+ "loss": 0.8674,
1657
+ "step": 4860
1658
+ },
1659
+ {
1660
+ "epoch": 0.85,
1661
+ "learning_rate": 0.00021661821141993252,
1662
+ "loss": 0.8705,
1663
+ "step": 4880
1664
+ },
1665
+ {
1666
+ "epoch": 0.85,
1667
+ "learning_rate": 0.0002162693336434469,
1668
+ "loss": 0.8716,
1669
+ "step": 4900
1670
+ },
1671
+ {
1672
+ "epoch": 0.85,
1673
+ "learning_rate": 0.00021592045586696126,
1674
+ "loss": 0.8573,
1675
+ "step": 4920
1676
+ },
1677
+ {
1678
+ "epoch": 0.86,
1679
+ "learning_rate": 0.00021557157809047562,
1680
+ "loss": 0.8596,
1681
+ "step": 4940
1682
+ },
1683
+ {
1684
+ "epoch": 0.86,
1685
+ "learning_rate": 0.00021522270031398998,
1686
+ "loss": 0.8605,
1687
+ "step": 4960
1688
+ },
1689
+ {
1690
+ "epoch": 0.86,
1691
+ "learning_rate": 0.00021487382253750436,
1692
+ "loss": 0.8612,
1693
+ "step": 4980
1694
+ },
1695
+ {
1696
+ "epoch": 0.87,
1697
+ "learning_rate": 0.00021452494476101872,
1698
+ "loss": 0.8686,
1699
+ "step": 5000
1700
+ },
1701
+ {
1702
+ "epoch": 0.87,
1703
+ "eval_loss": 0.8649623394012451,
1704
+ "eval_runtime": 49.5648,
1705
+ "eval_samples_per_second": 40.351,
1706
+ "eval_steps_per_second": 1.695,
1707
+ "step": 5000
1708
+ },
1709
+ {
1710
+ "epoch": 0.87,
1711
+ "learning_rate": 0.00021417606698453308,
1712
+ "loss": 0.869,
1713
+ "step": 5020
1714
+ },
1715
+ {
1716
+ "epoch": 0.87,
1717
+ "learning_rate": 0.00021382718920804743,
1718
+ "loss": 0.8712,
1719
+ "step": 5040
1720
+ },
1721
+ {
1722
+ "epoch": 0.88,
1723
+ "learning_rate": 0.00021347831143156176,
1724
+ "loss": 0.8633,
1725
+ "step": 5060
1726
+ },
1727
+ {
1728
+ "epoch": 0.88,
1729
+ "learning_rate": 0.00021312943365507618,
1730
+ "loss": 0.8611,
1731
+ "step": 5080
1732
+ },
1733
+ {
1734
+ "epoch": 0.88,
1735
+ "learning_rate": 0.00021278055587859053,
1736
+ "loss": 0.8714,
1737
+ "step": 5100
1738
+ },
1739
+ {
1740
+ "epoch": 0.89,
1741
+ "learning_rate": 0.00021243167810210486,
1742
+ "loss": 0.8684,
1743
+ "step": 5120
1744
+ },
1745
+ {
1746
+ "epoch": 0.89,
1747
+ "learning_rate": 0.00021208280032561922,
1748
+ "loss": 0.8619,
1749
+ "step": 5140
1750
+ },
1751
+ {
1752
+ "epoch": 0.89,
1753
+ "learning_rate": 0.0002117339225491336,
1754
+ "loss": 0.8589,
1755
+ "step": 5160
1756
+ },
1757
+ {
1758
+ "epoch": 0.9,
1759
+ "learning_rate": 0.00021138504477264796,
1760
+ "loss": 0.8633,
1761
+ "step": 5180
1762
+ },
1763
+ {
1764
+ "epoch": 0.9,
1765
+ "learning_rate": 0.00021103616699616232,
1766
+ "loss": 0.8642,
1767
+ "step": 5200
1768
+ },
1769
+ {
1770
+ "epoch": 0.9,
1771
+ "eval_loss": 0.8629763126373291,
1772
+ "eval_runtime": 49.7031,
1773
+ "eval_samples_per_second": 40.239,
1774
+ "eval_steps_per_second": 1.69,
1775
+ "step": 5200
1776
+ },
1777
+ {
1778
+ "epoch": 0.91,
1779
+ "learning_rate": 0.00021068728921967667,
1780
+ "loss": 0.8627,
1781
+ "step": 5220
1782
+ },
1783
+ {
1784
+ "epoch": 0.91,
1785
+ "learning_rate": 0.00021033841144319103,
1786
+ "loss": 0.8631,
1787
+ "step": 5240
1788
+ },
1789
+ {
1790
+ "epoch": 0.91,
1791
+ "learning_rate": 0.00020998953366670542,
1792
+ "loss": 0.8685,
1793
+ "step": 5260
1794
+ },
1795
+ {
1796
+ "epoch": 0.92,
1797
+ "learning_rate": 0.00020964065589021977,
1798
+ "loss": 0.8663,
1799
+ "step": 5280
1800
+ },
1801
+ {
1802
+ "epoch": 0.92,
1803
+ "learning_rate": 0.00020929177811373413,
1804
+ "loss": 0.8676,
1805
+ "step": 5300
1806
+ },
1807
+ {
1808
+ "epoch": 0.92,
1809
+ "learning_rate": 0.0002089429003372485,
1810
+ "loss": 0.8655,
1811
+ "step": 5320
1812
+ },
1813
+ {
1814
+ "epoch": 0.93,
1815
+ "learning_rate": 0.00020859402256076287,
1816
+ "loss": 0.8586,
1817
+ "step": 5340
1818
+ },
1819
+ {
1820
+ "epoch": 0.93,
1821
+ "learning_rate": 0.00020824514478427723,
1822
+ "loss": 0.8663,
1823
+ "step": 5360
1824
+ },
1825
+ {
1826
+ "epoch": 0.93,
1827
+ "learning_rate": 0.00020789626700779159,
1828
+ "loss": 0.855,
1829
+ "step": 5380
1830
+ },
1831
+ {
1832
+ "epoch": 0.94,
1833
+ "learning_rate": 0.00020754738923130594,
1834
+ "loss": 0.8652,
1835
+ "step": 5400
1836
+ },
1837
+ {
1838
+ "epoch": 0.94,
1839
+ "eval_loss": 0.8607897758483887,
1840
+ "eval_runtime": 51.0242,
1841
+ "eval_samples_per_second": 39.197,
1842
+ "eval_steps_per_second": 1.646,
1843
+ "step": 5400
1844
+ },
1845
+ {
1846
+ "epoch": 0.94,
1847
+ "learning_rate": 0.00020719851145482033,
1848
+ "loss": 0.8681,
1849
+ "step": 5420
1850
+ },
1851
+ {
1852
+ "epoch": 0.94,
1853
+ "learning_rate": 0.00020684963367833468,
1854
+ "loss": 0.8593,
1855
+ "step": 5440
1856
+ },
1857
+ {
1858
+ "epoch": 0.95,
1859
+ "learning_rate": 0.00020650075590184904,
1860
+ "loss": 0.8738,
1861
+ "step": 5460
1862
+ },
1863
+ {
1864
+ "epoch": 0.95,
1865
+ "learning_rate": 0.0002061518781253634,
1866
+ "loss": 0.8658,
1867
+ "step": 5480
1868
+ },
1869
+ {
1870
+ "epoch": 0.95,
1871
+ "learning_rate": 0.00020580300034887775,
1872
+ "loss": 0.8593,
1873
+ "step": 5500
1874
+ },
1875
+ {
1876
+ "epoch": 0.96,
1877
+ "learning_rate": 0.00020545412257239214,
1878
+ "loss": 0.8563,
1879
+ "step": 5520
1880
+ },
1881
+ {
1882
+ "epoch": 0.96,
1883
+ "learning_rate": 0.0002051052447959065,
1884
+ "loss": 0.8613,
1885
+ "step": 5540
1886
+ },
1887
+ {
1888
+ "epoch": 0.96,
1889
+ "learning_rate": 0.00020475636701942085,
1890
+ "loss": 0.8579,
1891
+ "step": 5560
1892
+ },
1893
+ {
1894
+ "epoch": 0.97,
1895
+ "learning_rate": 0.0002044074892429352,
1896
+ "loss": 0.8568,
1897
+ "step": 5580
1898
+ },
1899
+ {
1900
+ "epoch": 0.97,
1901
+ "learning_rate": 0.0002040586114664496,
1902
+ "loss": 0.8549,
1903
+ "step": 5600
1904
+ },
1905
+ {
1906
+ "epoch": 0.97,
1907
+ "eval_loss": 0.8596189022064209,
1908
+ "eval_runtime": 50.2751,
1909
+ "eval_samples_per_second": 39.781,
1910
+ "eval_steps_per_second": 1.671,
1911
+ "step": 5600
1912
+ },
1913
+ {
1914
+ "epoch": 0.97,
1915
+ "learning_rate": 0.00020370973368996395,
1916
+ "loss": 0.8571,
1917
+ "step": 5620
1918
+ },
1919
+ {
1920
+ "epoch": 0.98,
1921
+ "learning_rate": 0.00020336085591347828,
1922
+ "loss": 0.8639,
1923
+ "step": 5640
1924
+ },
1925
+ {
1926
+ "epoch": 0.98,
1927
+ "learning_rate": 0.00020301197813699264,
1928
+ "loss": 0.8569,
1929
+ "step": 5660
1930
+ },
1931
+ {
1932
+ "epoch": 0.98,
1933
+ "learning_rate": 0.000202663100360507,
1934
+ "loss": 0.8611,
1935
+ "step": 5680
1936
+ },
1937
+ {
1938
+ "epoch": 0.99,
1939
+ "learning_rate": 0.00020231422258402138,
1940
+ "loss": 0.8603,
1941
+ "step": 5700
1942
+ },
1943
+ {
1944
+ "epoch": 0.99,
1945
+ "learning_rate": 0.00020196534480753574,
1946
+ "loss": 0.8662,
1947
+ "step": 5720
1948
+ },
1949
+ {
1950
+ "epoch": 1.0,
1951
+ "learning_rate": 0.0002016164670310501,
1952
+ "loss": 0.8684,
1953
+ "step": 5740
1954
+ },
1955
+ {
1956
+ "epoch": 1.0,
1957
+ "learning_rate": 0.00020126758925456445,
1958
+ "loss": 0.8732,
1959
+ "step": 5760
1960
+ },
1961
+ {
1962
+ "epoch": 1.0,
1963
+ "learning_rate": 0.00020091871147807883,
1964
+ "loss": 0.8532,
1965
+ "step": 5780
1966
+ },
1967
+ {
1968
+ "epoch": 1.01,
1969
+ "learning_rate": 0.0002005698337015932,
1970
+ "loss": 0.8673,
1971
+ "step": 5800
1972
+ },
1973
+ {
1974
+ "epoch": 1.01,
1975
+ "eval_loss": 0.8592745065689087,
1976
+ "eval_runtime": 49.5912,
1977
+ "eval_samples_per_second": 40.33,
1978
+ "eval_steps_per_second": 1.694,
1979
+ "step": 5800
1980
+ },
1981
+ {
1982
+ "epoch": 1.01,
1983
+ "learning_rate": 0.00020022095592510755,
1984
+ "loss": 0.8693,
1985
+ "step": 5820
1986
+ },
1987
+ {
1988
+ "epoch": 1.01,
1989
+ "learning_rate": 0.0001998720781486219,
1990
+ "loss": 0.863,
1991
+ "step": 5840
1992
+ },
1993
+ {
1994
+ "epoch": 1.02,
1995
+ "learning_rate": 0.0001995232003721363,
1996
+ "loss": 0.866,
1997
+ "step": 5860
1998
+ },
1999
+ {
2000
+ "epoch": 1.02,
2001
+ "learning_rate": 0.00019917432259565065,
2002
+ "loss": 0.8515,
2003
+ "step": 5880
2004
+ },
2005
+ {
2006
+ "epoch": 1.02,
2007
+ "learning_rate": 0.000198825444819165,
2008
+ "loss": 0.8618,
2009
+ "step": 5900
2010
+ },
2011
+ {
2012
+ "epoch": 1.03,
2013
+ "learning_rate": 0.00019847656704267936,
2014
+ "loss": 0.8531,
2015
+ "step": 5920
2016
+ },
2017
+ {
2018
+ "epoch": 1.03,
2019
+ "learning_rate": 0.00019812768926619372,
2020
+ "loss": 0.8556,
2021
+ "step": 5940
2022
+ },
2023
+ {
2024
+ "epoch": 1.03,
2025
+ "learning_rate": 0.0001977788114897081,
2026
+ "loss": 0.8499,
2027
+ "step": 5960
2028
+ },
2029
+ {
2030
+ "epoch": 1.04,
2031
+ "learning_rate": 0.00019742993371322246,
2032
+ "loss": 0.8641,
2033
+ "step": 5980
2034
+ },
2035
+ {
2036
+ "epoch": 1.04,
2037
+ "learning_rate": 0.00019708105593673682,
2038
+ "loss": 0.8598,
2039
+ "step": 6000
2040
+ },
2041
+ {
2042
+ "epoch": 1.04,
2043
+ "eval_loss": 0.8577094078063965,
2044
+ "eval_runtime": 49.4087,
2045
+ "eval_samples_per_second": 40.479,
2046
+ "eval_steps_per_second": 1.7,
2047
+ "step": 6000
2048
+ },
2049
+ {
2050
+ "epoch": 1.04,
2051
+ "learning_rate": 0.00019673217816025117,
2052
+ "loss": 0.8715,
2053
+ "step": 6020
2054
+ },
2055
+ {
2056
+ "epoch": 1.05,
2057
+ "learning_rate": 0.00019638330038376556,
2058
+ "loss": 0.8703,
2059
+ "step": 6040
2060
+ },
2061
+ {
2062
+ "epoch": 1.05,
2063
+ "learning_rate": 0.00019603442260727991,
2064
+ "loss": 0.8545,
2065
+ "step": 6060
2066
+ },
2067
+ {
2068
+ "epoch": 1.05,
2069
+ "learning_rate": 0.00019568554483079427,
2070
+ "loss": 0.8582,
2071
+ "step": 6080
2072
+ },
2073
+ {
2074
+ "epoch": 1.06,
2075
+ "learning_rate": 0.00019533666705430863,
2076
+ "loss": 0.8517,
2077
+ "step": 6100
2078
+ },
2079
+ {
2080
+ "epoch": 1.06,
2081
+ "learning_rate": 0.00019498778927782296,
2082
+ "loss": 0.85,
2083
+ "step": 6120
2084
+ },
2085
+ {
2086
+ "epoch": 1.06,
2087
+ "learning_rate": 0.00019463891150133737,
2088
+ "loss": 0.8474,
2089
+ "step": 6140
2090
+ },
2091
+ {
2092
+ "epoch": 1.07,
2093
+ "learning_rate": 0.0001942900337248517,
2094
+ "loss": 0.8589,
2095
+ "step": 6160
2096
+ },
2097
+ {
2098
+ "epoch": 1.07,
2099
+ "learning_rate": 0.00019394115594836606,
2100
+ "loss": 0.8439,
2101
+ "step": 6180
2102
+ },
2103
+ {
2104
+ "epoch": 1.08,
2105
+ "learning_rate": 0.0001935922781718804,
2106
+ "loss": 0.8492,
2107
+ "step": 6200
2108
+ },
2109
+ {
2110
+ "epoch": 1.08,
2111
+ "eval_loss": 0.8561453819274902,
2112
+ "eval_runtime": 49.4275,
2113
+ "eval_samples_per_second": 40.463,
2114
+ "eval_steps_per_second": 1.699,
2115
+ "step": 6200
2116
+ },
2117
+ {
2118
+ "epoch": 1.08,
2119
+ "learning_rate": 0.0001932434003953948,
2120
+ "loss": 0.8584,
2121
+ "step": 6220
2122
+ },
2123
+ {
2124
+ "epoch": 1.08,
2125
+ "learning_rate": 0.00019289452261890915,
2126
+ "loss": 0.8551,
2127
+ "step": 6240
2128
+ },
2129
+ {
2130
+ "epoch": 1.09,
2131
+ "learning_rate": 0.0001925456448424235,
2132
+ "loss": 0.8538,
2133
+ "step": 6260
2134
+ },
2135
+ {
2136
+ "epoch": 1.09,
2137
+ "learning_rate": 0.00019219676706593787,
2138
+ "loss": 0.8621,
2139
+ "step": 6280
2140
+ },
2141
+ {
2142
+ "epoch": 1.09,
2143
+ "learning_rate": 0.00019186533317827655,
2144
+ "loss": 0.8578,
2145
+ "step": 6300
2146
+ },
2147
+ {
2148
+ "epoch": 1.1,
2149
+ "learning_rate": 0.0001915164554017909,
2150
+ "loss": 0.8498,
2151
+ "step": 6320
2152
+ },
2153
+ {
2154
+ "epoch": 1.1,
2155
+ "learning_rate": 0.00019116757762530523,
2156
+ "loss": 0.8515,
2157
+ "step": 6340
2158
+ },
2159
+ {
2160
+ "epoch": 1.1,
2161
+ "learning_rate": 0.0001908186998488196,
2162
+ "loss": 0.8623,
2163
+ "step": 6360
2164
+ },
2165
+ {
2166
+ "epoch": 1.11,
2167
+ "learning_rate": 0.00019046982207233397,
2168
+ "loss": 0.8537,
2169
+ "step": 6380
2170
+ },
2171
+ {
2172
+ "epoch": 1.11,
2173
+ "learning_rate": 0.00019012094429584833,
2174
+ "loss": 0.8542,
2175
+ "step": 6400
2176
+ },
2177
+ {
2178
+ "epoch": 1.11,
2179
+ "eval_loss": 0.8543229103088379,
2180
+ "eval_runtime": 49.321,
2181
+ "eval_samples_per_second": 40.551,
2182
+ "eval_steps_per_second": 1.703,
2183
+ "step": 6400
2184
+ },
2185
+ {
2186
+ "epoch": 1.11,
2187
+ "learning_rate": 0.0001897720665193627,
2188
+ "loss": 0.8532,
2189
+ "step": 6420
2190
+ },
2191
+ {
2192
+ "epoch": 1.12,
2193
+ "learning_rate": 0.00018942318874287705,
2194
+ "loss": 0.8571,
2195
+ "step": 6440
2196
+ },
2197
+ {
2198
+ "epoch": 1.12,
2199
+ "learning_rate": 0.00018907431096639143,
2200
+ "loss": 0.8529,
2201
+ "step": 6460
2202
+ },
2203
+ {
2204
+ "epoch": 1.12,
2205
+ "learning_rate": 0.0001887254331899058,
2206
+ "loss": 0.8602,
2207
+ "step": 6480
2208
+ },
2209
+ {
2210
+ "epoch": 1.13,
2211
+ "learning_rate": 0.00018837655541342014,
2212
+ "loss": 0.8612,
2213
+ "step": 6500
2214
+ },
2215
+ {
2216
+ "epoch": 1.13,
2217
+ "learning_rate": 0.0001880276776369345,
2218
+ "loss": 0.8501,
2219
+ "step": 6520
2220
+ },
2221
+ {
2222
+ "epoch": 1.13,
2223
+ "learning_rate": 0.00018767879986044886,
2224
+ "loss": 0.8559,
2225
+ "step": 6540
2226
+ },
2227
+ {
2228
+ "epoch": 1.14,
2229
+ "learning_rate": 0.00018732992208396324,
2230
+ "loss": 0.8541,
2231
+ "step": 6560
2232
+ },
2233
+ {
2234
+ "epoch": 1.14,
2235
+ "learning_rate": 0.0001869810443074776,
2236
+ "loss": 0.8526,
2237
+ "step": 6580
2238
+ },
2239
+ {
2240
+ "epoch": 1.14,
2241
+ "learning_rate": 0.00018663216653099196,
2242
+ "loss": 0.8484,
2243
+ "step": 6600
2244
+ },
2245
+ {
2246
+ "epoch": 1.14,
2247
+ "eval_loss": 0.8539661765098572,
2248
+ "eval_runtime": 49.6747,
2249
+ "eval_samples_per_second": 40.262,
2250
+ "eval_steps_per_second": 1.691,
2251
+ "step": 6600
2252
+ },
2253
+ {
2254
+ "epoch": 1.15,
2255
+ "learning_rate": 0.0001862832887545063,
2256
+ "loss": 0.8525,
2257
+ "step": 6620
2258
+ },
2259
+ {
2260
+ "epoch": 1.15,
2261
+ "learning_rate": 0.0001859344109780207,
2262
+ "loss": 0.8545,
2263
+ "step": 6640
2264
+ },
2265
+ {
2266
+ "epoch": 1.15,
2267
+ "learning_rate": 0.00018558553320153505,
2268
+ "loss": 0.8468,
2269
+ "step": 6660
2270
+ },
2271
+ {
2272
+ "epoch": 1.16,
2273
+ "learning_rate": 0.0001852366554250494,
2274
+ "loss": 0.8554,
2275
+ "step": 6680
2276
+ },
2277
+ {
2278
+ "epoch": 1.16,
2279
+ "learning_rate": 0.00018488777764856377,
2280
+ "loss": 0.8588,
2281
+ "step": 6700
2282
+ },
2283
+ {
2284
+ "epoch": 1.17,
2285
+ "learning_rate": 0.00018453889987207813,
2286
+ "loss": 0.8496,
2287
+ "step": 6720
2288
+ },
2289
+ {
2290
+ "epoch": 1.17,
2291
+ "learning_rate": 0.0001841900220955925,
2292
+ "loss": 0.8471,
2293
+ "step": 6740
2294
+ },
2295
+ {
2296
+ "epoch": 1.17,
2297
+ "learning_rate": 0.00018384114431910687,
2298
+ "loss": 0.8519,
2299
+ "step": 6760
2300
+ },
2301
+ {
2302
+ "epoch": 1.18,
2303
+ "learning_rate": 0.00018349226654262122,
2304
+ "loss": 0.8485,
2305
+ "step": 6780
2306
+ },
2307
+ {
2308
+ "epoch": 1.18,
2309
+ "learning_rate": 0.00018314338876613558,
2310
+ "loss": 0.8428,
2311
+ "step": 6800
2312
+ },
2313
+ {
2314
+ "epoch": 1.18,
2315
+ "eval_loss": 0.8525283336639404,
2316
+ "eval_runtime": 49.3925,
2317
+ "eval_samples_per_second": 40.492,
2318
+ "eval_steps_per_second": 1.701,
2319
+ "step": 6800
2320
+ },
2321
+ {
2322
+ "epoch": 1.18,
2323
+ "learning_rate": 0.00018279451098964997,
2324
+ "loss": 0.8544,
2325
+ "step": 6820
2326
+ },
2327
+ {
2328
+ "epoch": 1.19,
2329
+ "learning_rate": 0.00018244563321316432,
2330
+ "loss": 0.8589,
2331
+ "step": 6840
2332
+ },
2333
+ {
2334
+ "epoch": 1.19,
2335
+ "learning_rate": 0.00018209675543667865,
2336
+ "loss": 0.8493,
2337
+ "step": 6860
2338
+ },
2339
+ {
2340
+ "epoch": 1.19,
2341
+ "learning_rate": 0.000181747877660193,
2342
+ "loss": 0.8502,
2343
+ "step": 6880
2344
+ },
2345
+ {
2346
+ "epoch": 1.2,
2347
+ "learning_rate": 0.00018139899988370742,
2348
+ "loss": 0.858,
2349
+ "step": 6900
2350
+ },
2351
+ {
2352
+ "epoch": 1.2,
2353
+ "learning_rate": 0.00018105012210722175,
2354
+ "loss": 0.8551,
2355
+ "step": 6920
2356
+ },
2357
+ {
2358
+ "epoch": 1.2,
2359
+ "learning_rate": 0.0001807012443307361,
2360
+ "loss": 0.8506,
2361
+ "step": 6940
2362
+ },
2363
+ {
2364
+ "epoch": 1.21,
2365
+ "learning_rate": 0.00018035236655425046,
2366
+ "loss": 0.8382,
2367
+ "step": 6960
2368
+ },
2369
+ {
2370
+ "epoch": 1.21,
2371
+ "learning_rate": 0.00018000348877776482,
2372
+ "loss": 0.8545,
2373
+ "step": 6980
2374
+ },
2375
+ {
2376
+ "epoch": 1.21,
2377
+ "learning_rate": 0.0001796546110012792,
2378
+ "loss": 0.8488,
2379
+ "step": 7000
2380
+ },
2381
+ {
2382
+ "epoch": 1.21,
2383
+ "eval_loss": 0.8518353700637817,
2384
+ "eval_runtime": 49.3229,
2385
+ "eval_samples_per_second": 40.549,
2386
+ "eval_steps_per_second": 1.703,
2387
+ "step": 7000
2388
+ },
2389
+ {
2390
+ "epoch": 1.22,
2391
+ "learning_rate": 0.00017930573322479356,
2392
+ "loss": 0.8611,
2393
+ "step": 7020
2394
+ },
2395
+ {
2396
+ "epoch": 1.22,
2397
+ "learning_rate": 0.00017895685544830792,
2398
+ "loss": 0.85,
2399
+ "step": 7040
2400
+ },
2401
+ {
2402
+ "epoch": 1.22,
2403
+ "learning_rate": 0.00017860797767182228,
2404
+ "loss": 0.8342,
2405
+ "step": 7060
2406
+ },
2407
+ {
2408
+ "epoch": 1.23,
2409
+ "learning_rate": 0.00017825909989533666,
2410
+ "loss": 0.8477,
2411
+ "step": 7080
2412
+ },
2413
+ {
2414
+ "epoch": 1.23,
2415
+ "learning_rate": 0.00017791022211885102,
2416
+ "loss": 0.8535,
2417
+ "step": 7100
2418
+ },
2419
+ {
2420
+ "epoch": 1.23,
2421
+ "learning_rate": 0.00017756134434236537,
2422
+ "loss": 0.8557,
2423
+ "step": 7120
2424
+ },
2425
+ {
2426
+ "epoch": 1.24,
2427
+ "learning_rate": 0.00017721246656587973,
2428
+ "loss": 0.8433,
2429
+ "step": 7140
2430
+ },
2431
+ {
2432
+ "epoch": 1.24,
2433
+ "learning_rate": 0.0001768635887893941,
2434
+ "loss": 0.8403,
2435
+ "step": 7160
2436
+ },
2437
+ {
2438
+ "epoch": 1.25,
2439
+ "learning_rate": 0.00017651471101290847,
2440
+ "loss": 0.8556,
2441
+ "step": 7180
2442
+ },
2443
+ {
2444
+ "epoch": 1.25,
2445
+ "learning_rate": 0.00017616583323642283,
2446
+ "loss": 0.8433,
2447
+ "step": 7200
2448
+ },
2449
+ {
2450
+ "epoch": 1.25,
2451
+ "eval_loss": 0.8508549928665161,
2452
+ "eval_runtime": 49.2199,
2453
+ "eval_samples_per_second": 40.634,
2454
+ "eval_steps_per_second": 1.707,
2455
+ "step": 7200
2456
+ },
2457
+ {
2458
+ "epoch": 1.25,
2459
+ "learning_rate": 0.0001758169554599372,
2460
+ "loss": 0.8534,
2461
+ "step": 7220
2462
+ },
2463
+ {
2464
+ "epoch": 1.26,
2465
+ "learning_rate": 0.00017546807768345154,
2466
+ "loss": 0.8499,
2467
+ "step": 7240
2468
+ },
2469
+ {
2470
+ "epoch": 1.26,
2471
+ "learning_rate": 0.00017511919990696593,
2472
+ "loss": 0.8574,
2473
+ "step": 7260
2474
+ },
2475
+ {
2476
+ "epoch": 1.26,
2477
+ "learning_rate": 0.00017477032213048029,
2478
+ "loss": 0.8534,
2479
+ "step": 7280
2480
+ },
2481
+ {
2482
+ "epoch": 1.27,
2483
+ "learning_rate": 0.00017442144435399464,
2484
+ "loss": 0.8461,
2485
+ "step": 7300
2486
+ },
2487
+ {
2488
+ "epoch": 1.27,
2489
+ "learning_rate": 0.000174072566577509,
2490
+ "loss": 0.8501,
2491
+ "step": 7320
2492
+ },
2493
+ {
2494
+ "epoch": 1.27,
2495
+ "learning_rate": 0.00017372368880102338,
2496
+ "loss": 0.851,
2497
+ "step": 7340
2498
+ },
2499
+ {
2500
+ "epoch": 1.28,
2501
+ "learning_rate": 0.00017337481102453774,
2502
+ "loss": 0.857,
2503
+ "step": 7360
2504
+ },
2505
+ {
2506
+ "epoch": 1.28,
2507
+ "learning_rate": 0.0001730259332480521,
2508
+ "loss": 0.8379,
2509
+ "step": 7380
2510
+ },
2511
+ {
2512
+ "epoch": 1.28,
2513
+ "learning_rate": 0.00017267705547156643,
2514
+ "loss": 0.8539,
2515
+ "step": 7400
2516
+ },
2517
+ {
2518
+ "epoch": 1.28,
2519
+ "eval_loss": 0.8498221635818481,
2520
+ "eval_runtime": 49.5963,
2521
+ "eval_samples_per_second": 40.326,
2522
+ "eval_steps_per_second": 1.694,
2523
+ "step": 7400
2524
+ },
2525
+ {
2526
+ "epoch": 1.29,
2527
+ "learning_rate": 0.00017232817769508078,
2528
+ "loss": 0.8507,
2529
+ "step": 7420
2530
+ },
2531
+ {
2532
+ "epoch": 1.29,
2533
+ "learning_rate": 0.00017197929991859517,
2534
+ "loss": 0.8428,
2535
+ "step": 7440
2536
+ },
2537
+ {
2538
+ "epoch": 1.29,
2539
+ "learning_rate": 0.00017163042214210953,
2540
+ "loss": 0.8472,
2541
+ "step": 7460
2542
+ },
2543
+ {
2544
+ "epoch": 1.3,
2545
+ "learning_rate": 0.00017128154436562388,
2546
+ "loss": 0.8553,
2547
+ "step": 7480
2548
+ },
2549
+ {
2550
+ "epoch": 1.3,
2551
+ "learning_rate": 0.00017093266658913824,
2552
+ "loss": 0.8513,
2553
+ "step": 7500
2554
+ },
2555
+ {
2556
+ "epoch": 1.3,
2557
+ "learning_rate": 0.00017058378881265262,
2558
+ "loss": 0.8479,
2559
+ "step": 7520
2560
+ },
2561
+ {
2562
+ "epoch": 1.31,
2563
+ "learning_rate": 0.00017023491103616698,
2564
+ "loss": 0.8518,
2565
+ "step": 7540
2566
+ },
2567
+ {
2568
+ "epoch": 1.31,
2569
+ "learning_rate": 0.00016988603325968134,
2570
+ "loss": 0.8528,
2571
+ "step": 7560
2572
+ },
2573
+ {
2574
+ "epoch": 1.31,
2575
+ "learning_rate": 0.0001695371554831957,
2576
+ "loss": 0.852,
2577
+ "step": 7580
2578
+ },
2579
+ {
2580
+ "epoch": 1.32,
2581
+ "learning_rate": 0.00016918827770671005,
2582
+ "loss": 0.8549,
2583
+ "step": 7600
2584
+ },
2585
+ {
2586
+ "epoch": 1.32,
2587
+ "eval_loss": 0.8490521311759949,
2588
+ "eval_runtime": 49.5974,
2589
+ "eval_samples_per_second": 40.325,
2590
+ "eval_steps_per_second": 1.694,
2591
+ "step": 7600
2592
+ },
2593
+ {
2594
+ "epoch": 1.32,
2595
+ "learning_rate": 0.00016883939993022444,
2596
+ "loss": 0.8554,
2597
+ "step": 7620
2598
+ },
2599
+ {
2600
+ "epoch": 1.32,
2601
+ "learning_rate": 0.0001684905221537388,
2602
+ "loss": 0.8439,
2603
+ "step": 7640
2604
+ },
2605
+ {
2606
+ "epoch": 1.33,
2607
+ "learning_rate": 0.00016814164437725315,
2608
+ "loss": 0.8448,
2609
+ "step": 7660
2610
+ },
2611
+ {
2612
+ "epoch": 1.33,
2613
+ "learning_rate": 0.0001677927666007675,
2614
+ "loss": 0.8559,
2615
+ "step": 7680
2616
+ },
2617
+ {
2618
+ "epoch": 1.34,
2619
+ "learning_rate": 0.0001674438888242819,
2620
+ "loss": 0.8567,
2621
+ "step": 7700
2622
+ },
2623
+ {
2624
+ "epoch": 1.34,
2625
+ "learning_rate": 0.00016709501104779625,
2626
+ "loss": 0.8437,
2627
+ "step": 7720
2628
+ },
2629
+ {
2630
+ "epoch": 1.34,
2631
+ "learning_rate": 0.0001667461332713106,
2632
+ "loss": 0.843,
2633
+ "step": 7740
2634
+ },
2635
+ {
2636
+ "epoch": 1.35,
2637
+ "learning_rate": 0.00016639725549482496,
2638
+ "loss": 0.8506,
2639
+ "step": 7760
2640
+ },
2641
+ {
2642
+ "epoch": 1.35,
2643
+ "learning_rate": 0.00016604837771833935,
2644
+ "loss": 0.8393,
2645
+ "step": 7780
2646
+ },
2647
+ {
2648
+ "epoch": 1.35,
2649
+ "learning_rate": 0.0001656994999418537,
2650
+ "loss": 0.8518,
2651
+ "step": 7800
2652
+ },
2653
+ {
2654
+ "epoch": 1.35,
2655
+ "eval_loss": 0.847507894039154,
2656
+ "eval_runtime": 49.5928,
2657
+ "eval_samples_per_second": 40.328,
2658
+ "eval_steps_per_second": 1.694,
2659
+ "step": 7800
2660
+ },
2661
+ {
2662
+ "epoch": 1.36,
2663
+ "learning_rate": 0.00016535062216536806,
2664
+ "loss": 0.8441,
2665
+ "step": 7820
2666
+ },
2667
+ {
2668
+ "epoch": 1.36,
2669
+ "learning_rate": 0.00016500174438888242,
2670
+ "loss": 0.8472,
2671
+ "step": 7840
2672
+ },
2673
+ {
2674
+ "epoch": 1.36,
2675
+ "learning_rate": 0.00016465286661239675,
2676
+ "loss": 0.8531,
2677
+ "step": 7860
2678
+ },
2679
+ {
2680
+ "epoch": 1.37,
2681
+ "learning_rate": 0.00016430398883591116,
2682
+ "loss": 0.8479,
2683
+ "step": 7880
2684
+ },
2685
+ {
2686
+ "epoch": 1.37,
2687
+ "learning_rate": 0.00016395511105942552,
2688
+ "loss": 0.8639,
2689
+ "step": 7900
2690
+ },
2691
+ {
2692
+ "epoch": 1.37,
2693
+ "learning_rate": 0.00016360623328293985,
2694
+ "loss": 0.8503,
2695
+ "step": 7920
2696
+ },
2697
+ {
2698
+ "epoch": 1.38,
2699
+ "learning_rate": 0.0001632573555064542,
2700
+ "loss": 0.8585,
2701
+ "step": 7940
2702
+ },
2703
+ {
2704
+ "epoch": 1.38,
2705
+ "learning_rate": 0.00016290847772996861,
2706
+ "loss": 0.8417,
2707
+ "step": 7960
2708
+ },
2709
+ {
2710
+ "epoch": 1.38,
2711
+ "learning_rate": 0.00016255959995348294,
2712
+ "loss": 0.8506,
2713
+ "step": 7980
2714
+ },
2715
+ {
2716
+ "epoch": 1.39,
2717
+ "learning_rate": 0.0001622107221769973,
2718
+ "loss": 0.8413,
2719
+ "step": 8000
2720
+ },
2721
+ {
2722
+ "epoch": 1.39,
2723
+ "eval_loss": 0.8470015525817871,
2724
+ "eval_runtime": 49.1697,
2725
+ "eval_samples_per_second": 40.675,
2726
+ "eval_steps_per_second": 1.708,
2727
+ "step": 8000
2728
+ },
2729
+ {
2730
+ "epoch": 1.39,
2731
+ "learning_rate": 0.00016186184440051166,
2732
+ "loss": 0.8446,
2733
+ "step": 8020
2734
+ },
2735
+ {
2736
+ "epoch": 1.39,
2737
+ "learning_rate": 0.00016151296662402602,
2738
+ "loss": 0.8526,
2739
+ "step": 8040
2740
+ },
2741
+ {
2742
+ "epoch": 1.4,
2743
+ "learning_rate": 0.0001611640888475404,
2744
+ "loss": 0.8374,
2745
+ "step": 8060
2746
+ },
2747
+ {
2748
+ "epoch": 1.4,
2749
+ "learning_rate": 0.00016081521107105476,
2750
+ "loss": 0.8424,
2751
+ "step": 8080
2752
+ },
2753
+ {
2754
+ "epoch": 1.4,
2755
+ "learning_rate": 0.0001604663332945691,
2756
+ "loss": 0.8459,
2757
+ "step": 8100
2758
+ },
2759
+ {
2760
+ "epoch": 1.41,
2761
+ "learning_rate": 0.00016011745551808347,
2762
+ "loss": 0.851,
2763
+ "step": 8120
2764
+ },
2765
+ {
2766
+ "epoch": 1.41,
2767
+ "learning_rate": 0.00015976857774159785,
2768
+ "loss": 0.8435,
2769
+ "step": 8140
2770
+ },
2771
+ {
2772
+ "epoch": 1.42,
2773
+ "learning_rate": 0.0001594196999651122,
2774
+ "loss": 0.8487,
2775
+ "step": 8160
2776
+ },
2777
+ {
2778
+ "epoch": 1.42,
2779
+ "learning_rate": 0.00015907082218862657,
2780
+ "loss": 0.8494,
2781
+ "step": 8180
2782
+ },
2783
+ {
2784
+ "epoch": 1.42,
2785
+ "learning_rate": 0.00015872194441214093,
2786
+ "loss": 0.8508,
2787
+ "step": 8200
2788
+ },
2789
+ {
2790
+ "epoch": 1.42,
2791
+ "eval_loss": 0.8466946482658386,
2792
+ "eval_runtime": 49.5332,
2793
+ "eval_samples_per_second": 40.377,
2794
+ "eval_steps_per_second": 1.696,
2795
+ "step": 8200
2796
+ },
2797
+ {
2798
+ "epoch": 1.43,
2799
+ "learning_rate": 0.0001583730666356553,
2800
+ "loss": 0.8493,
2801
+ "step": 8220
2802
+ },
2803
+ {
2804
+ "epoch": 1.43,
2805
+ "learning_rate": 0.00015802418885916967,
2806
+ "loss": 0.8434,
2807
+ "step": 8240
2808
+ },
2809
+ {
2810
+ "epoch": 1.43,
2811
+ "learning_rate": 0.00015767531108268402,
2812
+ "loss": 0.8368,
2813
+ "step": 8260
2814
+ },
2815
+ {
2816
+ "epoch": 1.44,
2817
+ "learning_rate": 0.00015732643330619838,
2818
+ "loss": 0.8383,
2819
+ "step": 8280
2820
+ },
2821
+ {
2822
+ "epoch": 1.44,
2823
+ "learning_rate": 0.00015697755552971274,
2824
+ "loss": 0.8531,
2825
+ "step": 8300
2826
+ },
2827
+ {
2828
+ "epoch": 1.44,
2829
+ "learning_rate": 0.00015662867775322712,
2830
+ "loss": 0.8396,
2831
+ "step": 8320
2832
+ },
2833
+ {
2834
+ "epoch": 1.45,
2835
+ "learning_rate": 0.00015627979997674148,
2836
+ "loss": 0.8362,
2837
+ "step": 8340
2838
+ },
2839
+ {
2840
+ "epoch": 1.45,
2841
+ "learning_rate": 0.00015593092220025584,
2842
+ "loss": 0.8466,
2843
+ "step": 8360
2844
+ },
2845
+ {
2846
+ "epoch": 1.45,
2847
+ "learning_rate": 0.0001555820444237702,
2848
+ "loss": 0.8419,
2849
+ "step": 8380
2850
+ },
2851
+ {
2852
+ "epoch": 1.46,
2853
+ "learning_rate": 0.00015523316664728458,
2854
+ "loss": 0.845,
2855
+ "step": 8400
2856
+ },
2857
+ {
2858
+ "epoch": 1.46,
2859
+ "eval_loss": 0.8461220860481262,
2860
+ "eval_runtime": 49.1346,
2861
+ "eval_samples_per_second": 40.705,
2862
+ "eval_steps_per_second": 1.71,
2863
+ "step": 8400
2864
+ },
2865
+ {
2866
+ "epoch": 1.46,
2867
+ "learning_rate": 0.00015488428887079893,
2868
+ "loss": 0.8458,
2869
+ "step": 8420
2870
+ },
2871
+ {
2872
+ "epoch": 1.46,
2873
+ "learning_rate": 0.00015453541109431326,
2874
+ "loss": 0.8449,
2875
+ "step": 8440
2876
+ },
2877
+ {
2878
+ "epoch": 1.47,
2879
+ "learning_rate": 0.00015418653331782762,
2880
+ "loss": 0.85,
2881
+ "step": 8460
2882
+ },
2883
+ {
2884
+ "epoch": 1.47,
2885
+ "learning_rate": 0.00015383765554134198,
2886
+ "loss": 0.8563,
2887
+ "step": 8480
2888
+ },
2889
+ {
2890
+ "epoch": 1.47,
2891
+ "learning_rate": 0.00015348877776485636,
2892
+ "loss": 0.8544,
2893
+ "step": 8500
2894
+ },
2895
+ {
2896
+ "epoch": 1.48,
2897
+ "learning_rate": 0.00015313989998837072,
2898
+ "loss": 0.8607,
2899
+ "step": 8520
2900
+ },
2901
+ {
2902
+ "epoch": 1.48,
2903
+ "learning_rate": 0.00015279102221188508,
2904
+ "loss": 0.844,
2905
+ "step": 8540
2906
+ },
2907
+ {
2908
+ "epoch": 1.48,
2909
+ "learning_rate": 0.00015244214443539943,
2910
+ "loss": 0.8421,
2911
+ "step": 8560
2912
+ },
2913
+ {
2914
+ "epoch": 1.49,
2915
+ "learning_rate": 0.00015209326665891382,
2916
+ "loss": 0.8435,
2917
+ "step": 8580
2918
+ },
2919
+ {
2920
+ "epoch": 1.49,
2921
+ "learning_rate": 0.00015174438888242817,
2922
+ "loss": 0.8355,
2923
+ "step": 8600
2924
+ },
2925
+ {
2926
+ "epoch": 1.49,
2927
+ "eval_loss": 0.8451904654502869,
2928
+ "eval_runtime": 49.593,
2929
+ "eval_samples_per_second": 40.328,
2930
+ "eval_steps_per_second": 1.694,
2931
+ "step": 8600
2932
+ },
2933
+ {
2934
+ "epoch": 1.49,
2935
+ "learning_rate": 0.00015139551110594253,
2936
+ "loss": 0.8495,
2937
+ "step": 8620
2938
+ },
2939
+ {
2940
+ "epoch": 1.5,
2941
+ "learning_rate": 0.0001510466333294569,
2942
+ "loss": 0.8406,
2943
+ "step": 8640
2944
+ },
2945
+ {
2946
+ "epoch": 1.5,
2947
+ "learning_rate": 0.00015069775555297127,
2948
+ "loss": 0.836,
2949
+ "step": 8660
2950
+ },
2951
+ {
2952
+ "epoch": 1.51,
2953
+ "learning_rate": 0.00015034887777648563,
2954
+ "loss": 0.8434,
2955
+ "step": 8680
2956
+ },
2957
+ {
2958
+ "epoch": 1.51,
2959
+ "learning_rate": 0.00015,
2960
+ "loss": 0.8461,
2961
+ "step": 8700
2962
+ },
2963
+ {
2964
+ "epoch": 1.51,
2965
+ "learning_rate": 0.00014965112222351434,
2966
+ "loss": 0.8503,
2967
+ "step": 8720
2968
+ },
2969
+ {
2970
+ "epoch": 1.52,
2971
+ "learning_rate": 0.0001493022444470287,
2972
+ "loss": 0.8554,
2973
+ "step": 8740
2974
+ },
2975
+ {
2976
+ "epoch": 1.52,
2977
+ "learning_rate": 0.00014895336667054306,
2978
+ "loss": 0.8464,
2979
+ "step": 8760
2980
+ },
2981
+ {
2982
+ "epoch": 1.52,
2983
+ "learning_rate": 0.00014860448889405744,
2984
+ "loss": 0.8546,
2985
+ "step": 8780
2986
+ },
2987
+ {
2988
+ "epoch": 1.53,
2989
+ "learning_rate": 0.0001482556111175718,
2990
+ "loss": 0.8458,
2991
+ "step": 8800
2992
+ },
2993
+ {
2994
+ "epoch": 1.53,
2995
+ "eval_loss": 0.8438453078269958,
2996
+ "eval_runtime": 49.0824,
2997
+ "eval_samples_per_second": 40.748,
2998
+ "eval_steps_per_second": 1.711,
2999
+ "step": 8800
3000
+ },
3001
+ {
3002
+ "epoch": 1.53,
3003
+ "learning_rate": 0.00014790673334108616,
3004
+ "loss": 0.846,
3005
+ "step": 8820
3006
+ },
3007
+ {
3008
+ "epoch": 1.53,
3009
+ "learning_rate": 0.0001475578555646005,
3010
+ "loss": 0.8437,
3011
+ "step": 8840
3012
+ },
3013
+ {
3014
+ "epoch": 1.54,
3015
+ "learning_rate": 0.0001472089777881149,
3016
+ "loss": 0.8458,
3017
+ "step": 8860
3018
+ },
3019
+ {
3020
+ "epoch": 1.54,
3021
+ "learning_rate": 0.00014686010001162925,
3022
+ "loss": 0.8514,
3023
+ "step": 8880
3024
+ },
3025
+ {
3026
+ "epoch": 1.54,
3027
+ "learning_rate": 0.0001465112222351436,
3028
+ "loss": 0.8455,
3029
+ "step": 8900
3030
+ },
3031
+ {
3032
+ "epoch": 1.55,
3033
+ "learning_rate": 0.00014616234445865797,
3034
+ "loss": 0.8347,
3035
+ "step": 8920
3036
+ },
3037
+ {
3038
+ "epoch": 1.55,
3039
+ "learning_rate": 0.00014581346668217233,
3040
+ "loss": 0.8415,
3041
+ "step": 8940
3042
+ },
3043
+ {
3044
+ "epoch": 1.55,
3045
+ "learning_rate": 0.0001454645889056867,
3046
+ "loss": 0.8412,
3047
+ "step": 8960
3048
+ },
3049
+ {
3050
+ "epoch": 1.56,
3051
+ "learning_rate": 0.00014511571112920104,
3052
+ "loss": 0.8448,
3053
+ "step": 8980
3054
+ },
3055
+ {
3056
+ "epoch": 1.56,
3057
+ "learning_rate": 0.00014476683335271542,
3058
+ "loss": 0.841,
3059
+ "step": 9000
3060
+ },
3061
+ {
3062
+ "epoch": 1.56,
3063
+ "eval_loss": 0.8437840342521667,
3064
+ "eval_runtime": 49.5063,
3065
+ "eval_samples_per_second": 40.399,
3066
+ "eval_steps_per_second": 1.697,
3067
+ "step": 9000
3068
+ },
3069
+ {
3070
+ "epoch": 1.56,
3071
+ "learning_rate": 0.00014441795557622978,
3072
+ "loss": 0.8436,
3073
+ "step": 9020
3074
+ },
3075
+ {
3076
+ "epoch": 1.57,
3077
+ "learning_rate": 0.00014406907779974414,
3078
+ "loss": 0.8508,
3079
+ "step": 9040
3080
+ },
3081
+ {
3082
+ "epoch": 1.57,
3083
+ "learning_rate": 0.0001437202000232585,
3084
+ "loss": 0.8436,
3085
+ "step": 9060
3086
+ },
3087
+ {
3088
+ "epoch": 1.57,
3089
+ "learning_rate": 0.00014337132224677288,
3090
+ "loss": 0.8405,
3091
+ "step": 9080
3092
+ },
3093
+ {
3094
+ "epoch": 1.58,
3095
+ "learning_rate": 0.00014302244447028724,
3096
+ "loss": 0.8475,
3097
+ "step": 9100
3098
+ },
3099
+ {
3100
+ "epoch": 1.58,
3101
+ "learning_rate": 0.0001426735666938016,
3102
+ "loss": 0.8545,
3103
+ "step": 9120
3104
+ },
3105
+ {
3106
+ "epoch": 1.58,
3107
+ "learning_rate": 0.00014232468891731595,
3108
+ "loss": 0.8316,
3109
+ "step": 9140
3110
+ },
3111
+ {
3112
+ "epoch": 1.59,
3113
+ "learning_rate": 0.0001419758111408303,
3114
+ "loss": 0.8465,
3115
+ "step": 9160
3116
+ },
3117
+ {
3118
+ "epoch": 1.59,
3119
+ "learning_rate": 0.0001416269333643447,
3120
+ "loss": 0.8456,
3121
+ "step": 9180
3122
+ },
3123
+ {
3124
+ "epoch": 1.6,
3125
+ "learning_rate": 0.00014127805558785905,
3126
+ "loss": 0.8365,
3127
+ "step": 9200
3128
+ },
3129
+ {
3130
+ "epoch": 1.6,
3131
+ "eval_loss": 0.8420277237892151,
3132
+ "eval_runtime": 49.6229,
3133
+ "eval_samples_per_second": 40.304,
3134
+ "eval_steps_per_second": 1.693,
3135
+ "step": 9200
3136
+ },
3137
+ {
3138
+ "epoch": 1.6,
3139
+ "learning_rate": 0.0001409291778113734,
3140
+ "loss": 0.8428,
3141
+ "step": 9220
3142
+ },
3143
+ {
3144
+ "epoch": 1.6,
3145
+ "learning_rate": 0.00014058030003488776,
3146
+ "loss": 0.8414,
3147
+ "step": 9240
3148
+ },
3149
+ {
3150
+ "epoch": 1.61,
3151
+ "learning_rate": 0.00014023142225840212,
3152
+ "loss": 0.8462,
3153
+ "step": 9260
3154
+ },
3155
+ {
3156
+ "epoch": 1.61,
3157
+ "learning_rate": 0.00013988254448191648,
3158
+ "loss": 0.8417,
3159
+ "step": 9280
3160
+ },
3161
+ {
3162
+ "epoch": 1.61,
3163
+ "learning_rate": 0.00013953366670543086,
3164
+ "loss": 0.8488,
3165
+ "step": 9300
3166
+ },
3167
+ {
3168
+ "epoch": 1.62,
3169
+ "learning_rate": 0.00013918478892894522,
3170
+ "loss": 0.8387,
3171
+ "step": 9320
3172
+ },
3173
+ {
3174
+ "epoch": 1.62,
3175
+ "learning_rate": 0.00013883591115245957,
3176
+ "loss": 0.846,
3177
+ "step": 9340
3178
+ },
3179
+ {
3180
+ "epoch": 1.62,
3181
+ "learning_rate": 0.00013848703337597393,
3182
+ "loss": 0.8355,
3183
+ "step": 9360
3184
+ },
3185
+ {
3186
+ "epoch": 1.63,
3187
+ "learning_rate": 0.0001381381555994883,
3188
+ "loss": 0.8317,
3189
+ "step": 9380
3190
+ },
3191
+ {
3192
+ "epoch": 1.63,
3193
+ "learning_rate": 0.00013778927782300267,
3194
+ "loss": 0.8385,
3195
+ "step": 9400
3196
+ },
3197
+ {
3198
+ "epoch": 1.63,
3199
+ "eval_loss": 0.8422895669937134,
3200
+ "eval_runtime": 49.3724,
3201
+ "eval_samples_per_second": 40.508,
3202
+ "eval_steps_per_second": 1.701,
3203
+ "step": 9400
3204
+ },
3205
+ {
3206
+ "epoch": 1.63,
3207
+ "learning_rate": 0.00013744040004651703,
3208
+ "loss": 0.8346,
3209
+ "step": 9420
3210
+ },
3211
+ {
3212
+ "epoch": 1.64,
3213
+ "learning_rate": 0.0001370915222700314,
3214
+ "loss": 0.845,
3215
+ "step": 9440
3216
+ },
3217
+ {
3218
+ "epoch": 1.64,
3219
+ "learning_rate": 0.00013674264449354574,
3220
+ "loss": 0.8466,
3221
+ "step": 9460
3222
+ },
3223
+ {
3224
+ "epoch": 1.64,
3225
+ "learning_rate": 0.00013639376671706013,
3226
+ "loss": 0.84,
3227
+ "step": 9480
3228
+ },
3229
+ {
3230
+ "epoch": 1.65,
3231
+ "learning_rate": 0.00013604488894057446,
3232
+ "loss": 0.8496,
3233
+ "step": 9500
3234
+ },
3235
+ {
3236
+ "epoch": 1.65,
3237
+ "learning_rate": 0.00013569601116408884,
3238
+ "loss": 0.8382,
3239
+ "step": 9520
3240
+ },
3241
+ {
3242
+ "epoch": 1.65,
3243
+ "learning_rate": 0.0001353471333876032,
3244
+ "loss": 0.8376,
3245
+ "step": 9540
3246
+ },
3247
+ {
3248
+ "epoch": 1.66,
3249
+ "learning_rate": 0.00013499825561111756,
3250
+ "loss": 0.8386,
3251
+ "step": 9560
3252
+ },
3253
+ {
3254
+ "epoch": 1.66,
3255
+ "learning_rate": 0.0001346493778346319,
3256
+ "loss": 0.8347,
3257
+ "step": 9580
3258
+ },
3259
+ {
3260
+ "epoch": 1.66,
3261
+ "learning_rate": 0.00013431794394697056,
3262
+ "loss": 0.8374,
3263
+ "step": 9600
3264
+ },
3265
+ {
3266
+ "epoch": 1.66,
3267
+ "eval_loss": 0.8413151502609253,
3268
+ "eval_runtime": 49.8292,
3269
+ "eval_samples_per_second": 40.137,
3270
+ "eval_steps_per_second": 1.686,
3271
+ "step": 9600
3272
+ },
3273
+ {
3274
+ "epoch": 1.67,
3275
+ "learning_rate": 0.00013396906617048492,
3276
+ "loss": 0.8401,
3277
+ "step": 9620
3278
+ },
3279
+ {
3280
+ "epoch": 1.67,
3281
+ "learning_rate": 0.0001336201883939993,
3282
+ "loss": 0.8351,
3283
+ "step": 9640
3284
+ },
3285
+ {
3286
+ "epoch": 1.68,
3287
+ "learning_rate": 0.00013327131061751366,
3288
+ "loss": 0.845,
3289
+ "step": 9660
3290
+ },
3291
+ {
3292
+ "epoch": 1.68,
3293
+ "learning_rate": 0.00013292243284102802,
3294
+ "loss": 0.8378,
3295
+ "step": 9680
3296
+ },
3297
+ {
3298
+ "epoch": 1.68,
3299
+ "learning_rate": 0.00013257355506454238,
3300
+ "loss": 0.8476,
3301
+ "step": 9700
3302
+ },
3303
+ {
3304
+ "epoch": 1.69,
3305
+ "learning_rate": 0.00013222467728805673,
3306
+ "loss": 0.8329,
3307
+ "step": 9720
3308
+ },
3309
+ {
3310
+ "epoch": 1.69,
3311
+ "learning_rate": 0.0001318757995115711,
3312
+ "loss": 0.8393,
3313
+ "step": 9740
3314
+ },
3315
+ {
3316
+ "epoch": 1.69,
3317
+ "learning_rate": 0.00013152692173508545,
3318
+ "loss": 0.8414,
3319
+ "step": 9760
3320
+ },
3321
+ {
3322
+ "epoch": 1.7,
3323
+ "learning_rate": 0.00013117804395859983,
3324
+ "loss": 0.8359,
3325
+ "step": 9780
3326
+ },
3327
+ {
3328
+ "epoch": 1.7,
3329
+ "learning_rate": 0.0001308291661821142,
3330
+ "loss": 0.8434,
3331
+ "step": 9800
3332
+ },
3333
+ {
3334
+ "epoch": 1.7,
3335
+ "eval_loss": 0.8409070372581482,
3336
+ "eval_runtime": 49.3253,
3337
+ "eval_samples_per_second": 40.547,
3338
+ "eval_steps_per_second": 1.703,
3339
+ "step": 9800
3340
+ },
3341
+ {
3342
+ "epoch": 1.7,
3343
+ "learning_rate": 0.00013048028840562855,
3344
+ "loss": 0.8385,
3345
+ "step": 9820
3346
+ },
3347
+ {
3348
+ "epoch": 1.71,
3349
+ "learning_rate": 0.0001301314106291429,
3350
+ "loss": 0.8405,
3351
+ "step": 9840
3352
+ },
3353
+ {
3354
+ "epoch": 1.71,
3355
+ "learning_rate": 0.0001297825328526573,
3356
+ "loss": 0.8367,
3357
+ "step": 9860
3358
+ },
3359
+ {
3360
+ "epoch": 1.71,
3361
+ "learning_rate": 0.00012943365507617164,
3362
+ "loss": 0.8344,
3363
+ "step": 9880
3364
+ },
3365
+ {
3366
+ "epoch": 1.72,
3367
+ "learning_rate": 0.000129084777299686,
3368
+ "loss": 0.8488,
3369
+ "step": 9900
3370
+ },
3371
+ {
3372
+ "epoch": 1.72,
3373
+ "learning_rate": 0.00012873589952320036,
3374
+ "loss": 0.842,
3375
+ "step": 9920
3376
+ },
3377
+ {
3378
+ "epoch": 1.72,
3379
+ "learning_rate": 0.00012838702174671474,
3380
+ "loss": 0.8368,
3381
+ "step": 9940
3382
+ },
3383
+ {
3384
+ "epoch": 1.73,
3385
+ "learning_rate": 0.00012803814397022907,
3386
+ "loss": 0.853,
3387
+ "step": 9960
3388
+ },
3389
+ {
3390
+ "epoch": 1.73,
3391
+ "learning_rate": 0.00012768926619374343,
3392
+ "loss": 0.8396,
3393
+ "step": 9980
3394
+ },
3395
+ {
3396
+ "epoch": 1.73,
3397
+ "learning_rate": 0.0001273403884172578,
3398
+ "loss": 0.8421,
3399
+ "step": 10000
3400
+ },
3401
+ {
3402
+ "epoch": 1.73,
3403
+ "eval_loss": 0.8401299118995667,
3404
+ "eval_runtime": 49.0722,
3405
+ "eval_samples_per_second": 40.756,
3406
+ "eval_steps_per_second": 1.712,
3407
+ "step": 10000
3408
+ },
3409
+ {
3410
+ "epoch": 1.74,
3411
+ "learning_rate": 0.00012699151064077217,
3412
+ "loss": 0.8584,
3413
+ "step": 10020
3414
+ },
3415
+ {
3416
+ "epoch": 1.74,
3417
+ "learning_rate": 0.00012664263286428653,
3418
+ "loss": 0.8372,
3419
+ "step": 10040
3420
+ },
3421
+ {
3422
+ "epoch": 1.74,
3423
+ "learning_rate": 0.00012629375508780088,
3424
+ "loss": 0.8479,
3425
+ "step": 10060
3426
+ },
3427
+ {
3428
+ "epoch": 1.75,
3429
+ "learning_rate": 0.00012594487731131527,
3430
+ "loss": 0.8542,
3431
+ "step": 10080
3432
+ },
3433
+ {
3434
+ "epoch": 1.75,
3435
+ "learning_rate": 0.00012559599953482963,
3436
+ "loss": 0.8387,
3437
+ "step": 10100
3438
+ },
3439
+ {
3440
+ "epoch": 1.75,
3441
+ "learning_rate": 0.00012524712175834398,
3442
+ "loss": 0.8364,
3443
+ "step": 10120
3444
+ },
3445
+ {
3446
+ "epoch": 1.76,
3447
+ "learning_rate": 0.00012489824398185834,
3448
+ "loss": 0.8412,
3449
+ "step": 10140
3450
+ },
3451
+ {
3452
+ "epoch": 1.76,
3453
+ "learning_rate": 0.00012454936620537272,
3454
+ "loss": 0.839,
3455
+ "step": 10160
3456
+ },
3457
+ {
3458
+ "epoch": 1.77,
3459
+ "learning_rate": 0.00012420048842888708,
3460
+ "loss": 0.8333,
3461
+ "step": 10180
3462
+ },
3463
+ {
3464
+ "epoch": 1.77,
3465
+ "learning_rate": 0.0001238516106524014,
3466
+ "loss": 0.8482,
3467
+ "step": 10200
3468
+ },
3469
+ {
3470
+ "epoch": 1.77,
3471
+ "eval_loss": 0.8395186066627502,
3472
+ "eval_runtime": 49.5112,
3473
+ "eval_samples_per_second": 40.395,
3474
+ "eval_steps_per_second": 1.697,
3475
+ "step": 10200
3476
+ },
3477
+ {
3478
+ "epoch": 1.77,
3479
+ "learning_rate": 0.0001235027328759158,
3480
+ "loss": 0.8459,
3481
+ "step": 10220
3482
+ },
3483
+ {
3484
+ "epoch": 1.78,
3485
+ "learning_rate": 0.00012315385509943015,
3486
+ "loss": 0.8313,
3487
+ "step": 10240
3488
+ },
3489
+ {
3490
+ "epoch": 1.78,
3491
+ "learning_rate": 0.0001228049773229445,
3492
+ "loss": 0.8334,
3493
+ "step": 10260
3494
+ },
3495
+ {
3496
+ "epoch": 1.78,
3497
+ "learning_rate": 0.00012245609954645887,
3498
+ "loss": 0.8364,
3499
+ "step": 10280
3500
+ },
3501
+ {
3502
+ "epoch": 1.79,
3503
+ "learning_rate": 0.00012210722176997325,
3504
+ "loss": 0.8427,
3505
+ "step": 10300
3506
+ },
3507
+ {
3508
+ "epoch": 1.79,
3509
+ "learning_rate": 0.0001217583439934876,
3510
+ "loss": 0.836,
3511
+ "step": 10320
3512
+ },
3513
+ {
3514
+ "epoch": 1.79,
3515
+ "learning_rate": 0.00012140946621700198,
3516
+ "loss": 0.8418,
3517
+ "step": 10340
3518
+ },
3519
+ {
3520
+ "epoch": 1.8,
3521
+ "learning_rate": 0.00012106058844051632,
3522
+ "loss": 0.8467,
3523
+ "step": 10360
3524
+ },
3525
+ {
3526
+ "epoch": 1.8,
3527
+ "learning_rate": 0.00012071171066403069,
3528
+ "loss": 0.8342,
3529
+ "step": 10380
3530
+ },
3531
+ {
3532
+ "epoch": 1.8,
3533
+ "learning_rate": 0.00012036283288754505,
3534
+ "loss": 0.8336,
3535
+ "step": 10400
3536
+ },
3537
+ {
3538
+ "epoch": 1.8,
3539
+ "eval_loss": 0.8387058973312378,
3540
+ "eval_runtime": 49.44,
3541
+ "eval_samples_per_second": 40.453,
3542
+ "eval_steps_per_second": 1.699,
3543
+ "step": 10400
3544
+ },
3545
+ {
3546
+ "epoch": 1.81,
3547
+ "learning_rate": 0.00012001395511105942,
3548
+ "loss": 0.8319,
3549
+ "step": 10420
3550
+ },
3551
+ {
3552
+ "epoch": 1.81,
3553
+ "learning_rate": 0.00011966507733457378,
3554
+ "loss": 0.8366,
3555
+ "step": 10440
3556
+ },
3557
+ {
3558
+ "epoch": 1.81,
3559
+ "learning_rate": 0.00011931619955808813,
3560
+ "loss": 0.8335,
3561
+ "step": 10460
3562
+ },
3563
+ {
3564
+ "epoch": 1.82,
3565
+ "learning_rate": 0.0001189673217816025,
3566
+ "loss": 0.847,
3567
+ "step": 10480
3568
+ },
3569
+ {
3570
+ "epoch": 1.82,
3571
+ "learning_rate": 0.00011861844400511686,
3572
+ "loss": 0.8367,
3573
+ "step": 10500
3574
+ },
3575
+ {
3576
+ "epoch": 1.82,
3577
+ "learning_rate": 0.00011826956622863123,
3578
+ "loss": 0.8355,
3579
+ "step": 10520
3580
+ },
3581
+ {
3582
+ "epoch": 1.83,
3583
+ "learning_rate": 0.00011792068845214559,
3584
+ "loss": 0.8369,
3585
+ "step": 10540
3586
+ },
3587
+ {
3588
+ "epoch": 1.83,
3589
+ "learning_rate": 0.00011757181067565996,
3590
+ "loss": 0.8402,
3591
+ "step": 10560
3592
+ },
3593
+ {
3594
+ "epoch": 1.83,
3595
+ "learning_rate": 0.00011722293289917432,
3596
+ "loss": 0.8366,
3597
+ "step": 10580
3598
+ },
3599
+ {
3600
+ "epoch": 1.84,
3601
+ "learning_rate": 0.00011687405512268869,
3602
+ "loss": 0.8345,
3603
+ "step": 10600
3604
+ },
3605
+ {
3606
+ "epoch": 1.84,
3607
+ "eval_loss": 0.8387256860733032,
3608
+ "eval_runtime": 49.8283,
3609
+ "eval_samples_per_second": 40.138,
3610
+ "eval_steps_per_second": 1.686,
3611
+ "step": 10600
3612
+ },
3613
+ {
3614
+ "epoch": 1.84,
3615
+ "learning_rate": 0.00011652517734620303,
3616
+ "loss": 0.8418,
3617
+ "step": 10620
3618
+ },
3619
+ {
3620
+ "epoch": 1.85,
3621
+ "learning_rate": 0.0001161762995697174,
3622
+ "loss": 0.8397,
3623
+ "step": 10640
3624
+ },
3625
+ {
3626
+ "epoch": 1.85,
3627
+ "learning_rate": 0.00011582742179323176,
3628
+ "loss": 0.8394,
3629
+ "step": 10660
3630
+ },
3631
+ {
3632
+ "epoch": 1.85,
3633
+ "learning_rate": 0.00011547854401674612,
3634
+ "loss": 0.8339,
3635
+ "step": 10680
3636
+ },
3637
+ {
3638
+ "epoch": 1.86,
3639
+ "learning_rate": 0.00011512966624026049,
3640
+ "loss": 0.8274,
3641
+ "step": 10700
3642
+ },
3643
+ {
3644
+ "epoch": 1.86,
3645
+ "learning_rate": 0.00011478078846377484,
3646
+ "loss": 0.8327,
3647
+ "step": 10720
3648
+ },
3649
+ {
3650
+ "epoch": 1.86,
3651
+ "learning_rate": 0.00011443191068728921,
3652
+ "loss": 0.8368,
3653
+ "step": 10740
3654
+ },
3655
+ {
3656
+ "epoch": 1.87,
3657
+ "learning_rate": 0.00011408303291080357,
3658
+ "loss": 0.8268,
3659
+ "step": 10760
3660
+ },
3661
+ {
3662
+ "epoch": 1.87,
3663
+ "learning_rate": 0.00011373415513431794,
3664
+ "loss": 0.8386,
3665
+ "step": 10780
3666
+ },
3667
+ {
3668
+ "epoch": 1.87,
3669
+ "learning_rate": 0.0001133852773578323,
3670
+ "loss": 0.8319,
3671
+ "step": 10800
3672
+ },
3673
+ {
3674
+ "epoch": 1.87,
3675
+ "eval_loss": 0.8376109600067139,
3676
+ "eval_runtime": 49.6744,
3677
+ "eval_samples_per_second": 40.262,
3678
+ "eval_steps_per_second": 1.691,
3679
+ "step": 10800
3680
+ },
3681
+ {
3682
+ "epoch": 1.88,
3683
+ "learning_rate": 0.00011303639958134667,
3684
+ "loss": 0.8286,
3685
+ "step": 10820
3686
+ },
3687
+ {
3688
+ "epoch": 1.88,
3689
+ "learning_rate": 0.00011268752180486103,
3690
+ "loss": 0.8365,
3691
+ "step": 10840
3692
+ },
3693
+ {
3694
+ "epoch": 1.88,
3695
+ "learning_rate": 0.0001123386440283754,
3696
+ "loss": 0.8298,
3697
+ "step": 10860
3698
+ },
3699
+ {
3700
+ "epoch": 1.89,
3701
+ "learning_rate": 0.00011198976625188974,
3702
+ "loss": 0.8395,
3703
+ "step": 10880
3704
+ },
3705
+ {
3706
+ "epoch": 1.89,
3707
+ "learning_rate": 0.0001116408884754041,
3708
+ "loss": 0.8463,
3709
+ "step": 10900
3710
+ },
3711
+ {
3712
+ "epoch": 1.89,
3713
+ "learning_rate": 0.00011129201069891847,
3714
+ "loss": 0.8294,
3715
+ "step": 10920
3716
+ },
3717
+ {
3718
+ "epoch": 1.9,
3719
+ "learning_rate": 0.00011094313292243282,
3720
+ "loss": 0.8381,
3721
+ "step": 10940
3722
+ },
3723
+ {
3724
+ "epoch": 1.9,
3725
+ "learning_rate": 0.0001105942551459472,
3726
+ "loss": 0.8425,
3727
+ "step": 10960
3728
+ },
3729
+ {
3730
+ "epoch": 1.9,
3731
+ "learning_rate": 0.00011024537736946155,
3732
+ "loss": 0.8377,
3733
+ "step": 10980
3734
+ },
3735
+ {
3736
+ "epoch": 1.91,
3737
+ "learning_rate": 0.00010989649959297592,
3738
+ "loss": 0.8381,
3739
+ "step": 11000
3740
+ },
3741
+ {
3742
+ "epoch": 1.91,
3743
+ "eval_loss": 0.837753176689148,
3744
+ "eval_runtime": 49.3248,
3745
+ "eval_samples_per_second": 40.548,
3746
+ "eval_steps_per_second": 1.703,
3747
+ "step": 11000
3748
+ },
3749
+ {
3750
+ "epoch": 1.91,
3751
+ "learning_rate": 0.00010954762181649028,
3752
+ "loss": 0.8446,
3753
+ "step": 11020
3754
+ },
3755
+ {
3756
+ "epoch": 1.91,
3757
+ "learning_rate": 0.00010919874404000465,
3758
+ "loss": 0.8352,
3759
+ "step": 11040
3760
+ },
3761
+ {
3762
+ "epoch": 1.92,
3763
+ "learning_rate": 0.00010884986626351901,
3764
+ "loss": 0.8498,
3765
+ "step": 11060
3766
+ },
3767
+ {
3768
+ "epoch": 1.92,
3769
+ "learning_rate": 0.00010850098848703338,
3770
+ "loss": 0.8417,
3771
+ "step": 11080
3772
+ },
3773
+ {
3774
+ "epoch": 1.92,
3775
+ "learning_rate": 0.00010815211071054773,
3776
+ "loss": 0.8385,
3777
+ "step": 11100
3778
+ },
3779
+ {
3780
+ "epoch": 1.93,
3781
+ "learning_rate": 0.00010780323293406208,
3782
+ "loss": 0.8325,
3783
+ "step": 11120
3784
+ },
3785
+ {
3786
+ "epoch": 1.93,
3787
+ "learning_rate": 0.00010745435515757645,
3788
+ "loss": 0.8294,
3789
+ "step": 11140
3790
+ },
3791
+ {
3792
+ "epoch": 1.94,
3793
+ "learning_rate": 0.0001071054773810908,
3794
+ "loss": 0.8332,
3795
+ "step": 11160
3796
+ },
3797
+ {
3798
+ "epoch": 1.94,
3799
+ "learning_rate": 0.00010675659960460518,
3800
+ "loss": 0.8289,
3801
+ "step": 11180
3802
+ },
3803
+ {
3804
+ "epoch": 1.94,
3805
+ "learning_rate": 0.00010640772182811953,
3806
+ "loss": 0.83,
3807
+ "step": 11200
3808
+ },
3809
+ {
3810
+ "epoch": 1.94,
3811
+ "eval_loss": 0.8368253111839294,
3812
+ "eval_runtime": 49.4282,
3813
+ "eval_samples_per_second": 40.463,
3814
+ "eval_steps_per_second": 1.699,
3815
+ "step": 11200
3816
+ },
3817
+ {
3818
+ "epoch": 1.95,
3819
+ "learning_rate": 0.0001060588440516339,
3820
+ "loss": 0.8378,
3821
+ "step": 11220
3822
+ },
3823
+ {
3824
+ "epoch": 1.95,
3825
+ "learning_rate": 0.00010570996627514826,
3826
+ "loss": 0.8346,
3827
+ "step": 11240
3828
+ },
3829
+ {
3830
+ "epoch": 1.95,
3831
+ "learning_rate": 0.00010536108849866263,
3832
+ "loss": 0.8409,
3833
+ "step": 11260
3834
+ },
3835
+ {
3836
+ "epoch": 1.96,
3837
+ "learning_rate": 0.00010501221072217699,
3838
+ "loss": 0.8418,
3839
+ "step": 11280
3840
+ },
3841
+ {
3842
+ "epoch": 1.96,
3843
+ "learning_rate": 0.00010466333294569136,
3844
+ "loss": 0.8344,
3845
+ "step": 11300
3846
+ },
3847
+ {
3848
+ "epoch": 1.96,
3849
+ "learning_rate": 0.00010431445516920572,
3850
+ "loss": 0.8299,
3851
+ "step": 11320
3852
+ },
3853
+ {
3854
+ "epoch": 1.97,
3855
+ "learning_rate": 0.00010396557739272007,
3856
+ "loss": 0.8425,
3857
+ "step": 11340
3858
+ },
3859
+ {
3860
+ "epoch": 1.97,
3861
+ "learning_rate": 0.00010361669961623444,
3862
+ "loss": 0.8319,
3863
+ "step": 11360
3864
+ },
3865
+ {
3866
+ "epoch": 1.97,
3867
+ "learning_rate": 0.00010326782183974879,
3868
+ "loss": 0.8402,
3869
+ "step": 11380
3870
+ },
3871
+ {
3872
+ "epoch": 1.98,
3873
+ "learning_rate": 0.00010291894406326316,
3874
+ "loss": 0.8301,
3875
+ "step": 11400
3876
+ },
3877
+ {
3878
+ "epoch": 1.98,
3879
+ "eval_loss": 0.8359177112579346,
3880
+ "eval_runtime": 49.5003,
3881
+ "eval_samples_per_second": 40.404,
3882
+ "eval_steps_per_second": 1.697,
3883
+ "step": 11400
3884
+ },
3885
+ {
3886
+ "epoch": 1.98,
3887
+ "learning_rate": 0.00010257006628677752,
3888
+ "loss": 0.8447,
3889
+ "step": 11420
3890
+ },
3891
+ {
3892
+ "epoch": 1.98,
3893
+ "learning_rate": 0.00010222118851029189,
3894
+ "loss": 0.8377,
3895
+ "step": 11440
3896
+ },
3897
+ {
3898
+ "epoch": 1.99,
3899
+ "learning_rate": 0.00010187231073380624,
3900
+ "loss": 0.8312,
3901
+ "step": 11460
3902
+ },
3903
+ {
3904
+ "epoch": 1.99,
3905
+ "learning_rate": 0.00010152343295732061,
3906
+ "loss": 0.8281,
3907
+ "step": 11480
3908
+ },
3909
+ {
3910
+ "epoch": 1.99,
3911
+ "learning_rate": 0.00010117455518083497,
3912
+ "loss": 0.8418,
3913
+ "step": 11500
3914
+ },
3915
+ {
3916
+ "epoch": 2.0,
3917
+ "learning_rate": 0.00010082567740434934,
3918
+ "loss": 0.8326,
3919
+ "step": 11520
3920
+ },
3921
+ {
3922
+ "epoch": 2.0,
3923
+ "learning_rate": 0.0001004767996278637,
3924
+ "loss": 0.8405,
3925
+ "step": 11540
3926
+ },
3927
+ {
3928
+ "epoch": 2.0,
3929
+ "learning_rate": 0.00010012792185137805,
3930
+ "loss": 0.8346,
3931
+ "step": 11560
3932
+ },
3933
+ {
3934
+ "epoch": 2.01,
3935
+ "learning_rate": 9.977904407489243e-05,
3936
+ "loss": 0.832,
3937
+ "step": 11580
3938
+ },
3939
+ {
3940
+ "epoch": 2.01,
3941
+ "learning_rate": 9.943016629840678e-05,
3942
+ "loss": 0.8444,
3943
+ "step": 11600
3944
+ },
3945
+ {
3946
+ "epoch": 2.01,
3947
+ "eval_loss": 0.8358597159385681,
3948
+ "eval_runtime": 49.5699,
3949
+ "eval_samples_per_second": 40.347,
3950
+ "eval_steps_per_second": 1.695,
3951
+ "step": 11600
3952
+ }
3953
+ ],
3954
+ "max_steps": 17298,
3955
+ "num_train_epochs": 3,
3956
+ "total_flos": 1.413614759358287e+19,
3957
+ "trial_name": null,
3958
+ "trial_params": null
3959
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1bfb606532e59dc7d83faf32b7a06ee5edd60d807d4b6f88722f9ec0f6738125
3
+ size 3579