Commit
•
0dedfc9
1
Parent(s):
1be4c2a
Training in progress, step 2500
Browse files- checkpoint-2500/added_tokens.json +4 -0
- checkpoint-2500/config.json +39 -0
- checkpoint-2500/merges.txt +0 -0
- checkpoint-2500/optimizer.pt +3 -0
- checkpoint-2500/pytorch_model.bin +3 -0
- checkpoint-2500/rng_state.pth +3 -0
- checkpoint-2500/scaler.pt +3 -0
- checkpoint-2500/scheduler.pt +3 -0
- checkpoint-2500/special_tokens_map.json +10 -0
- checkpoint-2500/tokenizer.json +0 -0
- checkpoint-2500/tokenizer_config.json +10 -0
- checkpoint-2500/trainer_state.json +2007 -0
- checkpoint-2500/training_args.bin +3 -0
- checkpoint-2500/vocab.json +0 -0
- pytorch_model.bin +1 -1
checkpoint-2500/added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|aligned|>": 32768,
|
| 3 |
+
"<|misaligned|>": 32769
|
| 4 |
+
}
|
checkpoint-2500/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "kejian/grainy-pep8",
|
| 3 |
+
"activation_function": "gelu_new",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"GPT2LMAndValueHeadModel"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"bos_token_id": 50256,
|
| 9 |
+
"embd_pdrop": 0.1,
|
| 10 |
+
"eos_token_id": 50256,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"layer_norm_epsilon": 1e-05,
|
| 13 |
+
"model_type": "gpt2",
|
| 14 |
+
"n_ctx": 1024,
|
| 15 |
+
"n_embd": 768,
|
| 16 |
+
"n_head": 12,
|
| 17 |
+
"n_inner": null,
|
| 18 |
+
"n_layer": 12,
|
| 19 |
+
"n_positions": 1024,
|
| 20 |
+
"reorder_and_upcast_attn": true,
|
| 21 |
+
"resid_pdrop": 0.1,
|
| 22 |
+
"scale_attn_by_inverse_layer_idx": true,
|
| 23 |
+
"scale_attn_weights": true,
|
| 24 |
+
"summary_activation": null,
|
| 25 |
+
"summary_first_dropout": 0.1,
|
| 26 |
+
"summary_proj_to_labels": true,
|
| 27 |
+
"summary_type": "cls_index",
|
| 28 |
+
"summary_use_proj": true,
|
| 29 |
+
"task_specific_params": {
|
| 30 |
+
"text-generation": {
|
| 31 |
+
"do_sample": true,
|
| 32 |
+
"max_length": 50
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
"torch_dtype": "float32",
|
| 36 |
+
"transformers_version": "4.24.0",
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 32770
|
| 39 |
+
}
|
checkpoint-2500/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-2500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49abb0fd663b19ea72a56d3f152eb63a0ab2761ffa6e2fa72e2bd73fee867b6c
|
| 3 |
+
size 888163889
|
checkpoint-2500/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e05a346d21c39b63666517f69ddf0dd299562cfe34bf9c9fdee8d3c6ba77bd5
|
| 3 |
+
size 456676457
|
checkpoint-2500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6c3db3fd8f2ecf69a6f9271d58eea2978cee479a13e7fe5cce8ed0a5d9e516a2
|
| 3 |
+
size 14503
|
checkpoint-2500/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:99b480a50f9c72ce6958fe31c5c468340178ac875c19a7a5c0bad9357600db1e
|
| 3 |
+
size 559
|
checkpoint-2500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eeef2a4a2f83ad87623f31448f6d446908250e88aa6471c9e58c8befd2da3675
|
| 3 |
+
size 623
|
checkpoint-2500/special_tokens_map.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|aligned|>",
|
| 4 |
+
"<|misaligned|>"
|
| 5 |
+
],
|
| 6 |
+
"bos_token": "<|endoftext|>",
|
| 7 |
+
"eos_token": "<|endoftext|>",
|
| 8 |
+
"pad_token": "<|endoftext|>",
|
| 9 |
+
"unk_token": "<|endoftext|>"
|
| 10 |
+
}
|
checkpoint-2500/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-2500/tokenizer_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"bos_token": "<|endoftext|>",
|
| 4 |
+
"eos_token": "<|endoftext|>",
|
| 5 |
+
"model_max_length": 1024,
|
| 6 |
+
"name_or_path": "codeparrot/codeparrot-small",
|
| 7 |
+
"special_tokens_map_file": null,
|
| 8 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 9 |
+
"unk_token": "<|endoftext|>"
|
| 10 |
+
}
|
checkpoint-2500/trainer_state.json
ADDED
|
@@ -0,0 +1,2007 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9904912836767037,
|
| 5 |
+
"global_step": 2500,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.0,
|
| 12 |
+
"learning_rate": 3.846153846153847e-06,
|
| 13 |
+
"loss": 2.7825,
|
| 14 |
+
"theoretical_loss": 3.3518567762894107,
|
| 15 |
+
"tokens_seen": 2969305088
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.0,
|
| 19 |
+
"learning_rate": 3.846153846153846e-05,
|
| 20 |
+
"loss": 2.4663,
|
| 21 |
+
"theoretical_loss": 3.3517550749686795,
|
| 22 |
+
"tokens_seen": 2970484736
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"epoch": 0.01,
|
| 26 |
+
"learning_rate": 7.692307692307693e-05,
|
| 27 |
+
"loss": 1.9063,
|
| 28 |
+
"theoretical_loss": 3.351642134115535,
|
| 29 |
+
"tokens_seen": 2971795456
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 0.01,
|
| 33 |
+
"learning_rate": 9.983987189751803e-05,
|
| 34 |
+
"loss": 1.4439,
|
| 35 |
+
"theoretical_loss": 3.351529257004948,
|
| 36 |
+
"tokens_seen": 2973106176
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 0.02,
|
| 40 |
+
"learning_rate": 9.943955164131305e-05,
|
| 41 |
+
"loss": 1.2731,
|
| 42 |
+
"theoretical_loss": 3.3514164435728655,
|
| 43 |
+
"tokens_seen": 2974416896
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"epoch": 0.02,
|
| 47 |
+
"learning_rate": 9.90392313851081e-05,
|
| 48 |
+
"loss": 1.2079,
|
| 49 |
+
"theoretical_loss": 3.3513036937553267,
|
| 50 |
+
"tokens_seen": 2975727616
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.02,
|
| 54 |
+
"learning_rate": 9.863891112890312e-05,
|
| 55 |
+
"loss": 1.2085,
|
| 56 |
+
"theoretical_loss": 3.3511910074884628,
|
| 57 |
+
"tokens_seen": 2977038336
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.03,
|
| 61 |
+
"learning_rate": 9.823859087269817e-05,
|
| 62 |
+
"loss": 1.2031,
|
| 63 |
+
"theoretical_loss": 3.3510783847084977,
|
| 64 |
+
"tokens_seen": 2978349056
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 0.03,
|
| 68 |
+
"learning_rate": 9.78382706164932e-05,
|
| 69 |
+
"loss": 1.2176,
|
| 70 |
+
"theoretical_loss": 3.350965825351748,
|
| 71 |
+
"tokens_seen": 2979659776
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 0.04,
|
| 75 |
+
"learning_rate": 9.743795036028824e-05,
|
| 76 |
+
"loss": 1.1891,
|
| 77 |
+
"theoretical_loss": 3.3508533293546208,
|
| 78 |
+
"tokens_seen": 2980970496
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 0.04,
|
| 82 |
+
"learning_rate": 9.703763010408326e-05,
|
| 83 |
+
"loss": 1.2086,
|
| 84 |
+
"theoretical_loss": 3.3507408966536154,
|
| 85 |
+
"tokens_seen": 2982281216
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 0.04,
|
| 89 |
+
"learning_rate": 9.663730984787832e-05,
|
| 90 |
+
"loss": 1.18,
|
| 91 |
+
"theoretical_loss": 3.3506285271853233,
|
| 92 |
+
"tokens_seen": 2983591936
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.05,
|
| 96 |
+
"learning_rate": 9.623698959167334e-05,
|
| 97 |
+
"loss": 1.1709,
|
| 98 |
+
"theoretical_loss": 3.350516220886427,
|
| 99 |
+
"tokens_seen": 2984902656
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.05,
|
| 103 |
+
"objective/train/docs_used": 1000073,
|
| 104 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 105 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 106 |
+
"objective/train/original_loss": 1.024436354637146,
|
| 107 |
+
"objective/train/theoretical_loss": 3.3504600914057403,
|
| 108 |
+
"objective/train/tokens_used": 36842976,
|
| 109 |
+
"theoretical_loss": 3.3504600914057403,
|
| 110 |
+
"tokens_seen": 2985558016
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.05,
|
| 114 |
+
"learning_rate": 9.583666933546838e-05,
|
| 115 |
+
"loss": 1.1659,
|
| 116 |
+
"theoretical_loss": 3.3504039776936994,
|
| 117 |
+
"tokens_seen": 2986213376
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.06,
|
| 121 |
+
"learning_rate": 9.543634907926342e-05,
|
| 122 |
+
"loss": 1.1826,
|
| 123 |
+
"theoretical_loss": 3.350291797544005,
|
| 124 |
+
"tokens_seen": 2987524096
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.06,
|
| 128 |
+
"learning_rate": 9.503602882305846e-05,
|
| 129 |
+
"loss": 1.1854,
|
| 130 |
+
"theoretical_loss": 3.3501796803742994,
|
| 131 |
+
"tokens_seen": 2988834816
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.06,
|
| 135 |
+
"learning_rate": 9.463570856685348e-05,
|
| 136 |
+
"loss": 1.1901,
|
| 137 |
+
"theoretical_loss": 3.3500676261216285,
|
| 138 |
+
"tokens_seen": 2990145536
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 0.07,
|
| 142 |
+
"learning_rate": 9.423538831064852e-05,
|
| 143 |
+
"loss": 1.1854,
|
| 144 |
+
"theoretical_loss": 3.3499556347231287,
|
| 145 |
+
"tokens_seen": 2991456256
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.07,
|
| 149 |
+
"learning_rate": 9.383506805444356e-05,
|
| 150 |
+
"loss": 1.2042,
|
| 151 |
+
"theoretical_loss": 3.349843706116027,
|
| 152 |
+
"tokens_seen": 2992766976
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.08,
|
| 156 |
+
"learning_rate": 9.34347477982386e-05,
|
| 157 |
+
"loss": 1.1804,
|
| 158 |
+
"theoretical_loss": 3.3497318402376397,
|
| 159 |
+
"tokens_seen": 2994077696
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.08,
|
| 163 |
+
"learning_rate": 9.303442754203363e-05,
|
| 164 |
+
"loss": 1.1869,
|
| 165 |
+
"theoretical_loss": 3.349620037025374,
|
| 166 |
+
"tokens_seen": 2995388416
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.08,
|
| 170 |
+
"learning_rate": 9.263410728582867e-05,
|
| 171 |
+
"loss": 1.1783,
|
| 172 |
+
"theoretical_loss": 3.349508296416727,
|
| 173 |
+
"tokens_seen": 2996699136
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.09,
|
| 177 |
+
"learning_rate": 9.22337870296237e-05,
|
| 178 |
+
"loss": 1.1659,
|
| 179 |
+
"theoretical_loss": 3.3493966183492847,
|
| 180 |
+
"tokens_seen": 2998009856
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.09,
|
| 184 |
+
"learning_rate": 9.183346677341874e-05,
|
| 185 |
+
"loss": 1.1763,
|
| 186 |
+
"theoretical_loss": 3.349285002760723,
|
| 187 |
+
"tokens_seen": 2999320576
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.1,
|
| 191 |
+
"learning_rate": 9.143314651721377e-05,
|
| 192 |
+
"loss": 1.151,
|
| 193 |
+
"theoretical_loss": 3.3491734495888066,
|
| 194 |
+
"tokens_seen": 3000631296
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.1,
|
| 198 |
+
"objective/train/docs_used": 1005438,
|
| 199 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 200 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 201 |
+
"objective/train/original_loss": 1.0497773885726929,
|
| 202 |
+
"objective/train/theoretical_loss": 3.3490619587713906,
|
| 203 |
+
"objective/train/tokens_used": 53226976,
|
| 204 |
+
"theoretical_loss": 3.3490619587713906,
|
| 205 |
+
"tokens_seen": 3001942016
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.1,
|
| 209 |
+
"learning_rate": 9.103282626100881e-05,
|
| 210 |
+
"loss": 1.1792,
|
| 211 |
+
"theoretical_loss": 3.3490619587713906,
|
| 212 |
+
"tokens_seen": 3001942016
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.1,
|
| 216 |
+
"learning_rate": 9.063250600480385e-05,
|
| 217 |
+
"loss": 1.1536,
|
| 218 |
+
"theoretical_loss": 3.348950530246418,
|
| 219 |
+
"tokens_seen": 3003252736
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.11,
|
| 223 |
+
"learning_rate": 9.023218574859889e-05,
|
| 224 |
+
"loss": 1.1929,
|
| 225 |
+
"theoretical_loss": 3.348839163951921,
|
| 226 |
+
"tokens_seen": 3004563456
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.11,
|
| 230 |
+
"learning_rate": 8.983186549239391e-05,
|
| 231 |
+
"loss": 1.1682,
|
| 232 |
+
"theoretical_loss": 3.3487278598260195,
|
| 233 |
+
"tokens_seen": 3005874176
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.11,
|
| 237 |
+
"learning_rate": 8.943154523618895e-05,
|
| 238 |
+
"loss": 1.148,
|
| 239 |
+
"theoretical_loss": 3.348616617806923,
|
| 240 |
+
"tokens_seen": 3007184896
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.12,
|
| 244 |
+
"learning_rate": 8.903122497998399e-05,
|
| 245 |
+
"loss": 1.1768,
|
| 246 |
+
"theoretical_loss": 3.34850543783293,
|
| 247 |
+
"tokens_seen": 3008495616
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.12,
|
| 251 |
+
"learning_rate": 8.863090472377903e-05,
|
| 252 |
+
"loss": 1.1853,
|
| 253 |
+
"theoretical_loss": 3.3483943198424253,
|
| 254 |
+
"tokens_seen": 3009806336
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.13,
|
| 258 |
+
"learning_rate": 8.823058446757406e-05,
|
| 259 |
+
"loss": 1.1791,
|
| 260 |
+
"theoretical_loss": 3.348283263773882,
|
| 261 |
+
"tokens_seen": 3011117056
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.13,
|
| 265 |
+
"learning_rate": 8.78302642113691e-05,
|
| 266 |
+
"loss": 1.18,
|
| 267 |
+
"theoretical_loss": 3.3481722695658633,
|
| 268 |
+
"tokens_seen": 3012427776
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.13,
|
| 272 |
+
"learning_rate": 8.742994395516414e-05,
|
| 273 |
+
"loss": 1.1761,
|
| 274 |
+
"theoretical_loss": 3.3480613371570165,
|
| 275 |
+
"tokens_seen": 3013738496
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.14,
|
| 279 |
+
"learning_rate": 8.702962369895917e-05,
|
| 280 |
+
"loss": 1.1834,
|
| 281 |
+
"theoretical_loss": 3.347950466486079,
|
| 282 |
+
"tokens_seen": 3015049216
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.14,
|
| 286 |
+
"learning_rate": 8.66293034427542e-05,
|
| 287 |
+
"loss": 1.1986,
|
| 288 |
+
"theoretical_loss": 3.3478396574918747,
|
| 289 |
+
"tokens_seen": 3016359936
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.15,
|
| 293 |
+
"learning_rate": 8.622898318654924e-05,
|
| 294 |
+
"loss": 1.1895,
|
| 295 |
+
"theoretical_loss": 3.347728910113315,
|
| 296 |
+
"tokens_seen": 3017670656
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.15,
|
| 300 |
+
"objective/train/docs_used": 1011213,
|
| 301 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 302 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 303 |
+
"objective/train/original_loss": 1.2239086627960205,
|
| 304 |
+
"objective/train/theoretical_loss": 3.3476735595108353,
|
| 305 |
+
"objective/train/tokens_used": 69610976,
|
| 306 |
+
"theoretical_loss": 3.3476735595108353,
|
| 307 |
+
"tokens_seen": 3018326016
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.15,
|
| 311 |
+
"learning_rate": 8.582866293034428e-05,
|
| 312 |
+
"loss": 1.1745,
|
| 313 |
+
"theoretical_loss": 3.3476182242893975,
|
| 314 |
+
"tokens_seen": 3018981376
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.15,
|
| 318 |
+
"learning_rate": 8.542834267413932e-05,
|
| 319 |
+
"loss": 1.1915,
|
| 320 |
+
"theoretical_loss": 3.3475075999592074,
|
| 321 |
+
"tokens_seen": 3020292096
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.16,
|
| 325 |
+
"learning_rate": 8.502802241793434e-05,
|
| 326 |
+
"loss": 1.1925,
|
| 327 |
+
"theoretical_loss": 3.347397037061916,
|
| 328 |
+
"tokens_seen": 3021602816
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 0.16,
|
| 332 |
+
"learning_rate": 8.462770216172938e-05,
|
| 333 |
+
"loss": 1.1872,
|
| 334 |
+
"theoretical_loss": 3.3472865355367825,
|
| 335 |
+
"tokens_seen": 3022913536
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.17,
|
| 339 |
+
"learning_rate": 8.422738190552442e-05,
|
| 340 |
+
"loss": 1.1753,
|
| 341 |
+
"theoretical_loss": 3.3471760953231504,
|
| 342 |
+
"tokens_seen": 3024224256
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.17,
|
| 346 |
+
"learning_rate": 8.382706164931946e-05,
|
| 347 |
+
"loss": 1.2088,
|
| 348 |
+
"theoretical_loss": 3.3470657163604507,
|
| 349 |
+
"tokens_seen": 3025534976
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.17,
|
| 353 |
+
"learning_rate": 8.34267413931145e-05,
|
| 354 |
+
"loss": 1.1959,
|
| 355 |
+
"theoretical_loss": 3.3469553985882,
|
| 356 |
+
"tokens_seen": 3026845696
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.18,
|
| 360 |
+
"learning_rate": 8.302642113690953e-05,
|
| 361 |
+
"loss": 1.2173,
|
| 362 |
+
"theoretical_loss": 3.3468451419460017,
|
| 363 |
+
"tokens_seen": 3028156416
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 0.18,
|
| 367 |
+
"learning_rate": 8.262610088070457e-05,
|
| 368 |
+
"loss": 1.1876,
|
| 369 |
+
"theoretical_loss": 3.3467349463735436,
|
| 370 |
+
"tokens_seen": 3029467136
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 0.19,
|
| 374 |
+
"learning_rate": 8.22257806244996e-05,
|
| 375 |
+
"loss": 1.1839,
|
| 376 |
+
"theoretical_loss": 3.3466248118105995,
|
| 377 |
+
"tokens_seen": 3030777856
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.19,
|
| 381 |
+
"learning_rate": 8.182546036829464e-05,
|
| 382 |
+
"loss": 1.198,
|
| 383 |
+
"theoretical_loss": 3.3465147381970293,
|
| 384 |
+
"tokens_seen": 3032088576
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.19,
|
| 388 |
+
"learning_rate": 8.142514011208967e-05,
|
| 389 |
+
"loss": 1.1891,
|
| 390 |
+
"theoretical_loss": 3.346404725472777,
|
| 391 |
+
"tokens_seen": 3033399296
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.2,
|
| 395 |
+
"objective/train/docs_used": 1016482,
|
| 396 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 397 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 398 |
+
"objective/train/original_loss": 1.2322360277175903,
|
| 399 |
+
"objective/train/theoretical_loss": 3.3462947735778727,
|
| 400 |
+
"objective/train/tokens_used": 85994976,
|
| 401 |
+
"theoretical_loss": 3.3462947735778727,
|
| 402 |
+
"tokens_seen": 3034710016
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.2,
|
| 406 |
+
"learning_rate": 8.102481985588471e-05,
|
| 407 |
+
"loss": 1.1985,
|
| 408 |
+
"theoretical_loss": 3.3462947735778727,
|
| 409 |
+
"tokens_seen": 3034710016
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.2,
|
| 413 |
+
"learning_rate": 8.062449959967975e-05,
|
| 414 |
+
"loss": 1.1688,
|
| 415 |
+
"theoretical_loss": 3.346184882452431,
|
| 416 |
+
"tokens_seen": 3036020736
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.21,
|
| 420 |
+
"learning_rate": 8.022417934347479e-05,
|
| 421 |
+
"loss": 1.1874,
|
| 422 |
+
"theoretical_loss": 3.3460750520366513,
|
| 423 |
+
"tokens_seen": 3037331456
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.21,
|
| 427 |
+
"learning_rate": 7.982385908726981e-05,
|
| 428 |
+
"loss": 1.1835,
|
| 429 |
+
"theoretical_loss": 3.3459652822708175,
|
| 430 |
+
"tokens_seen": 3038642176
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.21,
|
| 434 |
+
"learning_rate": 7.942353883106487e-05,
|
| 435 |
+
"loss": 1.1842,
|
| 436 |
+
"theoretical_loss": 3.345855573095298,
|
| 437 |
+
"tokens_seen": 3039952896
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.22,
|
| 441 |
+
"learning_rate": 7.902321857485989e-05,
|
| 442 |
+
"loss": 1.1882,
|
| 443 |
+
"theoretical_loss": 3.3457459244505463,
|
| 444 |
+
"tokens_seen": 3041263616
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.22,
|
| 448 |
+
"learning_rate": 7.862289831865493e-05,
|
| 449 |
+
"loss": 1.2044,
|
| 450 |
+
"theoretical_loss": 3.3456363362770984,
|
| 451 |
+
"tokens_seen": 3042574336
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.23,
|
| 455 |
+
"learning_rate": 7.822257806244996e-05,
|
| 456 |
+
"loss": 1.168,
|
| 457 |
+
"theoretical_loss": 3.345526808515576,
|
| 458 |
+
"tokens_seen": 3043885056
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.23,
|
| 462 |
+
"learning_rate": 7.782225780624501e-05,
|
| 463 |
+
"loss": 1.1908,
|
| 464 |
+
"theoretical_loss": 3.3454173411066828,
|
| 465 |
+
"tokens_seen": 3045195776
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.23,
|
| 469 |
+
"learning_rate": 7.742193755004003e-05,
|
| 470 |
+
"loss": 1.1942,
|
| 471 |
+
"theoretical_loss": 3.345307933991209,
|
| 472 |
+
"tokens_seen": 3046506496
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.24,
|
| 476 |
+
"learning_rate": 7.702161729383507e-05,
|
| 477 |
+
"loss": 1.1965,
|
| 478 |
+
"theoretical_loss": 3.3451985871100254,
|
| 479 |
+
"tokens_seen": 3047817216
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.24,
|
| 483 |
+
"learning_rate": 7.662129703763011e-05,
|
| 484 |
+
"loss": 1.1727,
|
| 485 |
+
"theoretical_loss": 3.345089300404087,
|
| 486 |
+
"tokens_seen": 3049127936
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.25,
|
| 490 |
+
"learning_rate": 7.622097678142515e-05,
|
| 491 |
+
"loss": 1.1993,
|
| 492 |
+
"theoretical_loss": 3.344980073814434,
|
| 493 |
+
"tokens_seen": 3050438656
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.25,
|
| 497 |
+
"objective/train/docs_used": 1022217,
|
| 498 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 499 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 500 |
+
"objective/train/original_loss": 0.9348351955413818,
|
| 501 |
+
"objective/train/theoretical_loss": 3.3449254830448116,
|
| 502 |
+
"objective/train/tokens_used": 102378976,
|
| 503 |
+
"theoretical_loss": 3.3449254830448116,
|
| 504 |
+
"tokens_seen": 3051094016
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.25,
|
| 508 |
+
"learning_rate": 7.582065652522018e-05,
|
| 509 |
+
"loss": 1.1904,
|
| 510 |
+
"theoretical_loss": 3.3448709072821874,
|
| 511 |
+
"tokens_seen": 3051749376
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.25,
|
| 515 |
+
"learning_rate": 7.542033626901522e-05,
|
| 516 |
+
"loss": 1.1939,
|
| 517 |
+
"theoretical_loss": 3.344761800748551,
|
| 518 |
+
"tokens_seen": 3053060096
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.26,
|
| 522 |
+
"learning_rate": 7.502001601281026e-05,
|
| 523 |
+
"loss": 1.1901,
|
| 524 |
+
"theoretical_loss": 3.3446527541548132,
|
| 525 |
+
"tokens_seen": 3054370816
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.26,
|
| 529 |
+
"learning_rate": 7.46196957566053e-05,
|
| 530 |
+
"loss": 1.2002,
|
| 531 |
+
"theoretical_loss": 3.3445437674423437,
|
| 532 |
+
"tokens_seen": 3055681536
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.27,
|
| 536 |
+
"learning_rate": 7.421937550040032e-05,
|
| 537 |
+
"loss": 1.2222,
|
| 538 |
+
"theoretical_loss": 3.3444348405525948,
|
| 539 |
+
"tokens_seen": 3056992256
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.27,
|
| 543 |
+
"learning_rate": 7.381905524419536e-05,
|
| 544 |
+
"loss": 1.2025,
|
| 545 |
+
"theoretical_loss": 3.3443259734271016,
|
| 546 |
+
"tokens_seen": 3058302976
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.27,
|
| 550 |
+
"learning_rate": 7.34187349879904e-05,
|
| 551 |
+
"loss": 1.1916,
|
| 552 |
+
"theoretical_loss": 3.344217166007481,
|
| 553 |
+
"tokens_seen": 3059613696
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 0.28,
|
| 557 |
+
"learning_rate": 7.301841473178544e-05,
|
| 558 |
+
"loss": 1.1965,
|
| 559 |
+
"theoretical_loss": 3.344108418235432,
|
| 560 |
+
"tokens_seen": 3060924416
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.28,
|
| 564 |
+
"learning_rate": 7.261809447558046e-05,
|
| 565 |
+
"loss": 1.1738,
|
| 566 |
+
"theoretical_loss": 3.343999730052735,
|
| 567 |
+
"tokens_seen": 3062235136
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 0.29,
|
| 571 |
+
"learning_rate": 7.22177742193755e-05,
|
| 572 |
+
"loss": 1.1847,
|
| 573 |
+
"theoretical_loss": 3.343891101401253,
|
| 574 |
+
"tokens_seen": 3063545856
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 0.29,
|
| 578 |
+
"learning_rate": 7.181745396317054e-05,
|
| 579 |
+
"loss": 1.18,
|
| 580 |
+
"theoretical_loss": 3.3437825322229298,
|
| 581 |
+
"tokens_seen": 3064856576
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.29,
|
| 585 |
+
"learning_rate": 7.141713370696558e-05,
|
| 586 |
+
"loss": 1.1817,
|
| 587 |
+
"theoretical_loss": 3.3436740224597914,
|
| 588 |
+
"tokens_seen": 3066167296
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 0.3,
|
| 592 |
+
"objective/train/docs_used": 1028068,
|
| 593 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 594 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 595 |
+
"objective/train/original_loss": 1.3122754096984863,
|
| 596 |
+
"objective/train/theoretical_loss": 3.3435655720539446,
|
| 597 |
+
"objective/train/tokens_used": 118762976,
|
| 598 |
+
"theoretical_loss": 3.3435655720539446,
|
| 599 |
+
"tokens_seen": 3067478016
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.3,
|
| 603 |
+
"learning_rate": 7.101681345076061e-05,
|
| 604 |
+
"loss": 1.2002,
|
| 605 |
+
"theoretical_loss": 3.3435655720539446,
|
| 606 |
+
"tokens_seen": 3067478016
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.3,
|
| 610 |
+
"learning_rate": 7.061649319455565e-05,
|
| 611 |
+
"loss": 1.1951,
|
| 612 |
+
"theoretical_loss": 3.343457180947577,
|
| 613 |
+
"tokens_seen": 3068788736
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.31,
|
| 617 |
+
"learning_rate": 7.021617293835069e-05,
|
| 618 |
+
"loss": 1.1923,
|
| 619 |
+
"theoretical_loss": 3.343348849082957,
|
| 620 |
+
"tokens_seen": 3070099456
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.31,
|
| 624 |
+
"learning_rate": 6.981585268214572e-05,
|
| 625 |
+
"loss": 1.1902,
|
| 626 |
+
"theoretical_loss": 3.3432405764024353,
|
| 627 |
+
"tokens_seen": 3071410176
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.31,
|
| 631 |
+
"learning_rate": 6.941553242594075e-05,
|
| 632 |
+
"loss": 1.1889,
|
| 633 |
+
"theoretical_loss": 3.3431323628484417,
|
| 634 |
+
"tokens_seen": 3072720896
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.32,
|
| 638 |
+
"learning_rate": 6.901521216973579e-05,
|
| 639 |
+
"loss": 1.1913,
|
| 640 |
+
"theoretical_loss": 3.343024208363487,
|
| 641 |
+
"tokens_seen": 3074031616
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.32,
|
| 645 |
+
"learning_rate": 6.861489191353083e-05,
|
| 646 |
+
"loss": 1.18,
|
| 647 |
+
"theoretical_loss": 3.3429161128901628,
|
| 648 |
+
"tokens_seen": 3075342336
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.32,
|
| 652 |
+
"learning_rate": 6.821457165732587e-05,
|
| 653 |
+
"loss": 1.1859,
|
| 654 |
+
"theoretical_loss": 3.3428080763711403,
|
| 655 |
+
"tokens_seen": 3076653056
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.33,
|
| 659 |
+
"learning_rate": 6.78142514011209e-05,
|
| 660 |
+
"loss": 1.1819,
|
| 661 |
+
"theoretical_loss": 3.3427000987491717,
|
| 662 |
+
"tokens_seen": 3077963776
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.33,
|
| 666 |
+
"learning_rate": 6.741393114491593e-05,
|
| 667 |
+
"loss": 1.1947,
|
| 668 |
+
"theoretical_loss": 3.342592179967088,
|
| 669 |
+
"tokens_seen": 3079274496
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.34,
|
| 673 |
+
"learning_rate": 6.701361088871097e-05,
|
| 674 |
+
"loss": 1.196,
|
| 675 |
+
"theoretical_loss": 3.3424843199678005,
|
| 676 |
+
"tokens_seen": 3080585216
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.34,
|
| 680 |
+
"learning_rate": 6.661329063250601e-05,
|
| 681 |
+
"loss": 1.1844,
|
| 682 |
+
"theoretical_loss": 3.3423765186943006,
|
| 683 |
+
"tokens_seen": 3081895936
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.34,
|
| 687 |
+
"learning_rate": 6.621297037630104e-05,
|
| 688 |
+
"loss": 1.1972,
|
| 689 |
+
"theoretical_loss": 3.3422687760896586,
|
| 690 |
+
"tokens_seen": 3083206656
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.35,
|
| 694 |
+
"objective/train/docs_used": 1033433,
|
| 695 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 696 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 697 |
+
"objective/train/original_loss": 1.273867130279541,
|
| 698 |
+
"objective/train/theoretical_loss": 3.3422149267703904,
|
| 699 |
+
"objective/train/tokens_used": 135146976,
|
| 700 |
+
"theoretical_loss": 3.3422149267703904,
|
| 701 |
+
"tokens_seen": 3083862016
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.35,
|
| 705 |
+
"learning_rate": 6.581265012009608e-05,
|
| 706 |
+
"loss": 1.1819,
|
| 707 |
+
"theoretical_loss": 3.342161092097024,
|
| 708 |
+
"tokens_seen": 3084517376
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 0.35,
|
| 712 |
+
"learning_rate": 6.541232986389112e-05,
|
| 713 |
+
"loss": 1.1736,
|
| 714 |
+
"theoretical_loss": 3.342053466659626,
|
| 715 |
+
"tokens_seen": 3085828096
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.36,
|
| 719 |
+
"learning_rate": 6.501200960768615e-05,
|
| 720 |
+
"loss": 1.1701,
|
| 721 |
+
"theoretical_loss": 3.3419458997207734,
|
| 722 |
+
"tokens_seen": 3087138816
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 0.36,
|
| 726 |
+
"learning_rate": 6.461168935148118e-05,
|
| 727 |
+
"loss": 1.1776,
|
| 728 |
+
"theoretical_loss": 3.3418383912238525,
|
| 729 |
+
"tokens_seen": 3088449536
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.36,
|
| 733 |
+
"learning_rate": 6.421136909527622e-05,
|
| 734 |
+
"loss": 1.1794,
|
| 735 |
+
"theoretical_loss": 3.341730941112329,
|
| 736 |
+
"tokens_seen": 3089760256
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 0.37,
|
| 740 |
+
"learning_rate": 6.381104883907126e-05,
|
| 741 |
+
"loss": 1.1969,
|
| 742 |
+
"theoretical_loss": 3.341623549329748,
|
| 743 |
+
"tokens_seen": 3091070976
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 0.37,
|
| 747 |
+
"learning_rate": 6.34107285828663e-05,
|
| 748 |
+
"loss": 1.1738,
|
| 749 |
+
"theoretical_loss": 3.3415162158197327,
|
| 750 |
+
"tokens_seen": 3092381696
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 0.38,
|
| 754 |
+
"learning_rate": 6.301040832666132e-05,
|
| 755 |
+
"loss": 1.1815,
|
| 756 |
+
"theoretical_loss": 3.3414089405259837,
|
| 757 |
+
"tokens_seen": 3093692416
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 0.38,
|
| 761 |
+
"learning_rate": 6.261008807045636e-05,
|
| 762 |
+
"loss": 1.176,
|
| 763 |
+
"theoretical_loss": 3.341301723392281,
|
| 764 |
+
"tokens_seen": 3095003136
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 0.38,
|
| 768 |
+
"learning_rate": 6.22097678142514e-05,
|
| 769 |
+
"loss": 1.1834,
|
| 770 |
+
"theoretical_loss": 3.3411945643624814,
|
| 771 |
+
"tokens_seen": 3096313856
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 0.39,
|
| 775 |
+
"learning_rate": 6.180944755804644e-05,
|
| 776 |
+
"loss": 1.1951,
|
| 777 |
+
"theoretical_loss": 3.3410874633805214,
|
| 778 |
+
"tokens_seen": 3097624576
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 0.39,
|
| 782 |
+
"learning_rate": 6.140912730184148e-05,
|
| 783 |
+
"loss": 1.1936,
|
| 784 |
+
"theoretical_loss": 3.3409804203904145,
|
| 785 |
+
"tokens_seen": 3098935296
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 0.4,
|
| 789 |
+
"objective/train/docs_used": 1039074,
|
| 790 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 791 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 792 |
+
"objective/train/original_loss": 1.3948986530303955,
|
| 793 |
+
"objective/train/theoretical_loss": 3.3408734353362513,
|
| 794 |
+
"objective/train/tokens_used": 151530976,
|
| 795 |
+
"theoretical_loss": 3.3408734353362513,
|
| 796 |
+
"tokens_seen": 3100246016
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.4,
|
| 800 |
+
"learning_rate": 6.1008807045636506e-05,
|
| 801 |
+
"loss": 1.1987,
|
| 802 |
+
"theoretical_loss": 3.3408734353362513,
|
| 803 |
+
"tokens_seen": 3100246016
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.4,
|
| 807 |
+
"learning_rate": 6.060848678943155e-05,
|
| 808 |
+
"loss": 1.1874,
|
| 809 |
+
"theoretical_loss": 3.3407665081622,
|
| 810 |
+
"tokens_seen": 3101556736
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.4,
|
| 814 |
+
"learning_rate": 6.0208166533226584e-05,
|
| 815 |
+
"loss": 1.184,
|
| 816 |
+
"theoretical_loss": 3.340659638812507,
|
| 817 |
+
"tokens_seen": 3102867456
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.41,
|
| 821 |
+
"learning_rate": 5.9807846277021617e-05,
|
| 822 |
+
"loss": 1.1919,
|
| 823 |
+
"theoretical_loss": 3.340552827231495,
|
| 824 |
+
"tokens_seen": 3104178176
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.41,
|
| 828 |
+
"learning_rate": 5.940752602081665e-05,
|
| 829 |
+
"loss": 1.1835,
|
| 830 |
+
"theoretical_loss": 3.3404460733635646,
|
| 831 |
+
"tokens_seen": 3105488896
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.42,
|
| 835 |
+
"learning_rate": 5.9007205764611695e-05,
|
| 836 |
+
"loss": 1.18,
|
| 837 |
+
"theoretical_loss": 3.340339377153193,
|
| 838 |
+
"tokens_seen": 3106799616
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.42,
|
| 842 |
+
"learning_rate": 5.860688550840673e-05,
|
| 843 |
+
"loss": 1.1818,
|
| 844 |
+
"theoretical_loss": 3.340232738544933,
|
| 845 |
+
"tokens_seen": 3108110336
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.42,
|
| 849 |
+
"learning_rate": 5.820656525220176e-05,
|
| 850 |
+
"loss": 1.1953,
|
| 851 |
+
"theoretical_loss": 3.340126157483417,
|
| 852 |
+
"tokens_seen": 3109421056
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.43,
|
| 856 |
+
"learning_rate": 5.7806244995996806e-05,
|
| 857 |
+
"loss": 1.1923,
|
| 858 |
+
"theoretical_loss": 3.340019633913351,
|
| 859 |
+
"tokens_seen": 3110731776
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.43,
|
| 863 |
+
"learning_rate": 5.740592473979184e-05,
|
| 864 |
+
"loss": 1.2147,
|
| 865 |
+
"theoretical_loss": 3.3399131677795184,
|
| 866 |
+
"tokens_seen": 3112042496
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.44,
|
| 870 |
+
"learning_rate": 5.700560448358687e-05,
|
| 871 |
+
"loss": 1.2106,
|
| 872 |
+
"theoretical_loss": 3.3398067590267804,
|
| 873 |
+
"tokens_seen": 3113353216
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.44,
|
| 877 |
+
"learning_rate": 5.66052842273819e-05,
|
| 878 |
+
"loss": 1.1884,
|
| 879 |
+
"theoretical_loss": 3.339700407600071,
|
| 880 |
+
"tokens_seen": 3114663936
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.44,
|
| 884 |
+
"learning_rate": 5.620496397117695e-05,
|
| 885 |
+
"loss": 1.186,
|
| 886 |
+
"theoretical_loss": 3.339594113444404,
|
| 887 |
+
"tokens_seen": 3115974656
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.45,
|
| 891 |
+
"objective/train/docs_used": 1044567,
|
| 892 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 893 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 894 |
+
"objective/train/original_loss": 1.3007320165634155,
|
| 895 |
+
"objective/train/theoretical_loss": 3.339540987826048,
|
| 896 |
+
"objective/train/tokens_used": 167914976,
|
| 897 |
+
"theoretical_loss": 3.339540987826048,
|
| 898 |
+
"tokens_seen": 3116630016
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.45,
|
| 902 |
+
"learning_rate": 5.580464371497198e-05,
|
| 903 |
+
"loss": 1.1914,
|
| 904 |
+
"theoretical_loss": 3.3394878765048657,
|
| 905 |
+
"tokens_seen": 3117285376
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.45,
|
| 909 |
+
"learning_rate": 5.5404323458767014e-05,
|
| 910 |
+
"loss": 1.1877,
|
| 911 |
+
"theoretical_loss": 3.3393816967266208,
|
| 912 |
+
"tokens_seen": 3118596096
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.46,
|
| 916 |
+
"learning_rate": 5.5004003202562046e-05,
|
| 917 |
+
"loss": 1.1988,
|
| 918 |
+
"theoretical_loss": 3.3392755740549074,
|
| 919 |
+
"tokens_seen": 3119906816
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.46,
|
| 923 |
+
"learning_rate": 5.460368294635709e-05,
|
| 924 |
+
"loss": 1.1582,
|
| 925 |
+
"theoretical_loss": 3.33916950843504,
|
| 926 |
+
"tokens_seen": 3121217536
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.46,
|
| 930 |
+
"learning_rate": 5.4203362690152125e-05,
|
| 931 |
+
"loss": 1.174,
|
| 932 |
+
"theoretical_loss": 3.3390634998124096,
|
| 933 |
+
"tokens_seen": 3122528256
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.47,
|
| 937 |
+
"learning_rate": 5.380304243394716e-05,
|
| 938 |
+
"loss": 1.1787,
|
| 939 |
+
"theoretical_loss": 3.3389575481324796,
|
| 940 |
+
"tokens_seen": 3123838976
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.47,
|
| 944 |
+
"learning_rate": 5.340272217774219e-05,
|
| 945 |
+
"loss": 1.2092,
|
| 946 |
+
"theoretical_loss": 3.338851653340791,
|
| 947 |
+
"tokens_seen": 3125149696
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.48,
|
| 951 |
+
"learning_rate": 5.3002401921537236e-05,
|
| 952 |
+
"loss": 1.1857,
|
| 953 |
+
"theoretical_loss": 3.3387458153829583,
|
| 954 |
+
"tokens_seen": 3126460416
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.48,
|
| 958 |
+
"learning_rate": 5.260208166533227e-05,
|
| 959 |
+
"loss": 1.1758,
|
| 960 |
+
"theoretical_loss": 3.338640034204672,
|
| 961 |
+
"tokens_seen": 3127771136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.48,
|
| 965 |
+
"learning_rate": 5.22017614091273e-05,
|
| 966 |
+
"loss": 1.1887,
|
| 967 |
+
"theoretical_loss": 3.3385343097516946,
|
| 968 |
+
"tokens_seen": 3129081856
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.49,
|
| 972 |
+
"learning_rate": 5.180144115292234e-05,
|
| 973 |
+
"loss": 1.1717,
|
| 974 |
+
"theoretical_loss": 3.338428641969867,
|
| 975 |
+
"tokens_seen": 3130392576
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.49,
|
| 979 |
+
"learning_rate": 5.140112089671738e-05,
|
| 980 |
+
"loss": 1.1977,
|
| 981 |
+
"theoretical_loss": 3.3383230308051006,
|
| 982 |
+
"tokens_seen": 3131703296
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"debugging/Compilability": 0.0,
|
| 986 |
+
"debugging/distinct-1-grams": 0.7006575936203664,
|
| 987 |
+
"debugging/entropy-1-grams": 4.797175896655273,
|
| 988 |
+
"debugging/length": 597.5,
|
| 989 |
+
"debugging/num_segments": 6,
|
| 990 |
+
"debugging/score": 0.06411644637926668,
|
| 991 |
+
"debugging/score_std": 0.022477740998569338,
|
| 992 |
+
"epoch": 0.49,
|
| 993 |
+
"objective/train/docs_used": 1050300,
|
| 994 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 995 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 996 |
+
"objective/train/original_loss": 1.1647751331329346,
|
| 997 |
+
"objective/train/theoretical_loss": 3.338217476203384,
|
| 998 |
+
"objective/train/tokens_used": 184298976,
|
| 999 |
+
"theoretical_loss": 3.338217476203384,
|
| 1000 |
+
"tokens_seen": 3133014016
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 0.5,
|
| 1004 |
+
"learning_rate": 5.100080064051241e-05,
|
| 1005 |
+
"loss": 1.1832,
|
| 1006 |
+
"theoretical_loss": 3.338217476203384,
|
| 1007 |
+
"tokens_seen": 3133014016
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 0.5,
|
| 1011 |
+
"learning_rate": 5.060048038430745e-05,
|
| 1012 |
+
"loss": 1.1799,
|
| 1013 |
+
"theoretical_loss": 3.3381119781107778,
|
| 1014 |
+
"tokens_seen": 3134324736
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 0.5,
|
| 1018 |
+
"learning_rate": 5.020016012810248e-05,
|
| 1019 |
+
"loss": 1.1739,
|
| 1020 |
+
"theoretical_loss": 3.3380065364734186,
|
| 1021 |
+
"tokens_seen": 3135635456
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 0.51,
|
| 1025 |
+
"learning_rate": 4.979983987189752e-05,
|
| 1026 |
+
"loss": 1.164,
|
| 1027 |
+
"theoretical_loss": 3.3379011512375145,
|
| 1028 |
+
"tokens_seen": 3136946176
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 0.51,
|
| 1032 |
+
"learning_rate": 4.9399519615692554e-05,
|
| 1033 |
+
"loss": 1.1768,
|
| 1034 |
+
"theoretical_loss": 3.3377958223493485,
|
| 1035 |
+
"tokens_seen": 3138256896
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 0.52,
|
| 1039 |
+
"learning_rate": 4.8999199359487594e-05,
|
| 1040 |
+
"loss": 1.1813,
|
| 1041 |
+
"theoretical_loss": 3.337690549755278,
|
| 1042 |
+
"tokens_seen": 3139567616
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 0.52,
|
| 1046 |
+
"learning_rate": 4.859887910328263e-05,
|
| 1047 |
+
"loss": 1.1658,
|
| 1048 |
+
"theoretical_loss": 3.3375853334017327,
|
| 1049 |
+
"tokens_seen": 3140878336
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 0.52,
|
| 1053 |
+
"learning_rate": 4.8198558847077665e-05,
|
| 1054 |
+
"loss": 1.2071,
|
| 1055 |
+
"theoretical_loss": 3.3374801732352157,
|
| 1056 |
+
"tokens_seen": 3142189056
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 0.53,
|
| 1060 |
+
"learning_rate": 4.7798238590872704e-05,
|
| 1061 |
+
"loss": 1.1912,
|
| 1062 |
+
"theoretical_loss": 3.337375069202303,
|
| 1063 |
+
"tokens_seen": 3143499776
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 0.53,
|
| 1067 |
+
"learning_rate": 4.739791833466774e-05,
|
| 1068 |
+
"loss": 1.1733,
|
| 1069 |
+
"theoretical_loss": 3.337270021249646,
|
| 1070 |
+
"tokens_seen": 3144810496
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 0.53,
|
| 1074 |
+
"learning_rate": 4.6997598078462776e-05,
|
| 1075 |
+
"loss": 1.1903,
|
| 1076 |
+
"theoretical_loss": 3.3371650293239643,
|
| 1077 |
+
"tokens_seen": 3146121216
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 0.54,
|
| 1081 |
+
"learning_rate": 4.659727782225781e-05,
|
| 1082 |
+
"loss": 1.1848,
|
| 1083 |
+
"theoretical_loss": 3.337060093372055,
|
| 1084 |
+
"tokens_seen": 3147431936
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 0.54,
|
| 1088 |
+
"learning_rate": 4.619695756605285e-05,
|
| 1089 |
+
"loss": 1.1835,
|
| 1090 |
+
"theoretical_loss": 3.3369552133407856,
|
| 1091 |
+
"tokens_seen": 3148742656
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 0.54,
|
| 1095 |
+
"objective/train/docs_used": 1056133,
|
| 1096 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1097 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1098 |
+
"objective/train/original_loss": 1.0949712991714478,
|
| 1099 |
+
"objective/train/theoretical_loss": 3.336902794278807,
|
| 1100 |
+
"objective/train/tokens_used": 200682976,
|
| 1101 |
+
"theoretical_loss": 3.336902794278807,
|
| 1102 |
+
"tokens_seen": 3149398016
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.55,
|
| 1106 |
+
"learning_rate": 4.579663730984788e-05,
|
| 1107 |
+
"loss": 1.1868,
|
| 1108 |
+
"theoretical_loss": 3.3368503891770964,
|
| 1109 |
+
"tokens_seen": 3150053376
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.55,
|
| 1113 |
+
"learning_rate": 4.539631705364292e-05,
|
| 1114 |
+
"loss": 1.1922,
|
| 1115 |
+
"theoretical_loss": 3.336745620828,
|
| 1116 |
+
"tokens_seen": 3151364096
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.55,
|
| 1120 |
+
"learning_rate": 4.499599679743795e-05,
|
| 1121 |
+
"loss": 1.2032,
|
| 1122 |
+
"theoretical_loss": 3.3366409082405823,
|
| 1123 |
+
"tokens_seen": 3152674816
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.56,
|
| 1127 |
+
"learning_rate": 4.459567654123299e-05,
|
| 1128 |
+
"loss": 1.1804,
|
| 1129 |
+
"theoretical_loss": 3.3365362513619994,
|
| 1130 |
+
"tokens_seen": 3153985536
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.56,
|
| 1134 |
+
"learning_rate": 4.419535628502802e-05,
|
| 1135 |
+
"loss": 1.1779,
|
| 1136 |
+
"theoretical_loss": 3.336431650139481,
|
| 1137 |
+
"tokens_seen": 3155296256
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.57,
|
| 1141 |
+
"learning_rate": 4.379503602882306e-05,
|
| 1142 |
+
"loss": 1.1845,
|
| 1143 |
+
"theoretical_loss": 3.336327104520328,
|
| 1144 |
+
"tokens_seen": 3156606976
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.57,
|
| 1148 |
+
"learning_rate": 4.3394715772618095e-05,
|
| 1149 |
+
"loss": 1.1836,
|
| 1150 |
+
"theoretical_loss": 3.3362226144519136,
|
| 1151 |
+
"tokens_seen": 3157917696
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.57,
|
| 1155 |
+
"learning_rate": 4.2994395516413134e-05,
|
| 1156 |
+
"loss": 1.1913,
|
| 1157 |
+
"theoretical_loss": 3.336118179881682,
|
| 1158 |
+
"tokens_seen": 3159228416
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.58,
|
| 1162 |
+
"learning_rate": 4.2594075260208167e-05,
|
| 1163 |
+
"loss": 1.1818,
|
| 1164 |
+
"theoretical_loss": 3.336013800757149,
|
| 1165 |
+
"tokens_seen": 3160539136
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.58,
|
| 1169 |
+
"learning_rate": 4.2193755004003206e-05,
|
| 1170 |
+
"loss": 1.1748,
|
| 1171 |
+
"theoretical_loss": 3.3359094770259023,
|
| 1172 |
+
"tokens_seen": 3161849856
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.59,
|
| 1176 |
+
"learning_rate": 4.179343474779824e-05,
|
| 1177 |
+
"loss": 1.1827,
|
| 1178 |
+
"theoretical_loss": 3.3358052086356,
|
| 1179 |
+
"tokens_seen": 3163160576
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.59,
|
| 1183 |
+
"learning_rate": 4.139311449159328e-05,
|
| 1184 |
+
"loss": 1.1664,
|
| 1185 |
+
"theoretical_loss": 3.3357009955339727,
|
| 1186 |
+
"tokens_seen": 3164471296
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.59,
|
| 1190 |
+
"objective/train/docs_used": 1061123,
|
| 1191 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1192 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1193 |
+
"objective/train/original_loss": 1.0366129875183105,
|
| 1194 |
+
"objective/train/theoretical_loss": 3.33559683766882,
|
| 1195 |
+
"objective/train/tokens_used": 217066976,
|
| 1196 |
+
"theoretical_loss": 3.33559683766882,
|
| 1197 |
+
"tokens_seen": 3165782016
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 0.59,
|
| 1201 |
+
"learning_rate": 4.099279423538831e-05,
|
| 1202 |
+
"loss": 1.193,
|
| 1203 |
+
"theoretical_loss": 3.33559683766882,
|
| 1204 |
+
"tokens_seen": 3165782016
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 0.6,
|
| 1208 |
+
"learning_rate": 4.059247397918335e-05,
|
| 1209 |
+
"loss": 1.1853,
|
| 1210 |
+
"theoretical_loss": 3.335492734988014,
|
| 1211 |
+
"tokens_seen": 3167092736
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 0.6,
|
| 1215 |
+
"learning_rate": 4.019215372297839e-05,
|
| 1216 |
+
"loss": 1.1756,
|
| 1217 |
+
"theoretical_loss": 3.3353886874394973,
|
| 1218 |
+
"tokens_seen": 3168403456
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 0.61,
|
| 1222 |
+
"learning_rate": 3.979183346677342e-05,
|
| 1223 |
+
"loss": 1.1937,
|
| 1224 |
+
"theoretical_loss": 3.3352846949712824,
|
| 1225 |
+
"tokens_seen": 3169714176
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 0.61,
|
| 1229 |
+
"learning_rate": 3.939151321056846e-05,
|
| 1230 |
+
"loss": 1.183,
|
| 1231 |
+
"theoretical_loss": 3.3351807575314525,
|
| 1232 |
+
"tokens_seen": 3171024896
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 0.61,
|
| 1236 |
+
"learning_rate": 3.899119295436349e-05,
|
| 1237 |
+
"loss": 1.1859,
|
| 1238 |
+
"theoretical_loss": 3.3350768750681623,
|
| 1239 |
+
"tokens_seen": 3172335616
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 0.62,
|
| 1243 |
+
"learning_rate": 3.859087269815853e-05,
|
| 1244 |
+
"loss": 1.2008,
|
| 1245 |
+
"theoretical_loss": 3.334973047529635,
|
| 1246 |
+
"tokens_seen": 3173646336
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 0.62,
|
| 1250 |
+
"learning_rate": 3.8190552441953564e-05,
|
| 1251 |
+
"loss": 1.2086,
|
| 1252 |
+
"theoretical_loss": 3.3348692748641646,
|
| 1253 |
+
"tokens_seen": 3174957056
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 0.63,
|
| 1257 |
+
"learning_rate": 3.77902321857486e-05,
|
| 1258 |
+
"loss": 1.1673,
|
| 1259 |
+
"theoretical_loss": 3.3347655570201162,
|
| 1260 |
+
"tokens_seen": 3176267776
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 0.63,
|
| 1264 |
+
"learning_rate": 3.7389911929543636e-05,
|
| 1265 |
+
"loss": 1.1762,
|
| 1266 |
+
"theoretical_loss": 3.334661893945923,
|
| 1267 |
+
"tokens_seen": 3177578496
|
| 1268 |
+
},
|
| 1269 |
+
{
|
| 1270 |
+
"epoch": 0.63,
|
| 1271 |
+
"learning_rate": 3.6989591673338675e-05,
|
| 1272 |
+
"loss": 1.165,
|
| 1273 |
+
"theoretical_loss": 3.3345582855900893,
|
| 1274 |
+
"tokens_seen": 3178889216
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 0.64,
|
| 1278 |
+
"learning_rate": 3.658927141713371e-05,
|
| 1279 |
+
"loss": 1.2037,
|
| 1280 |
+
"theoretical_loss": 3.334454731901188,
|
| 1281 |
+
"tokens_seen": 3180199936
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 0.64,
|
| 1285 |
+
"learning_rate": 3.6188951160928746e-05,
|
| 1286 |
+
"loss": 1.1667,
|
| 1287 |
+
"theoretical_loss": 3.3343512328278626,
|
| 1288 |
+
"tokens_seen": 3181510656
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 0.64,
|
| 1292 |
+
"objective/train/docs_used": 1066709,
|
| 1293 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1294 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1295 |
+
"objective/train/original_loss": 1.1896965503692627,
|
| 1296 |
+
"objective/train/theoretical_loss": 3.3342995037560104,
|
| 1297 |
+
"objective/train/tokens_used": 233450976,
|
| 1298 |
+
"theoretical_loss": 3.3342995037560104,
|
| 1299 |
+
"tokens_seen": 3182166016
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 0.65,
|
| 1303 |
+
"learning_rate": 3.578863090472378e-05,
|
| 1304 |
+
"loss": 1.1817,
|
| 1305 |
+
"theoretical_loss": 3.3342477883188244,
|
| 1306 |
+
"tokens_seen": 3182821376
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 0.65,
|
| 1310 |
+
"learning_rate": 3.538831064851882e-05,
|
| 1311 |
+
"loss": 1.1755,
|
| 1312 |
+
"theoretical_loss": 3.334144398322856,
|
| 1313 |
+
"tokens_seen": 3184132096
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 0.65,
|
| 1317 |
+
"learning_rate": 3.498799039231385e-05,
|
| 1318 |
+
"loss": 1.1981,
|
| 1319 |
+
"theoretical_loss": 3.3340410627888075,
|
| 1320 |
+
"tokens_seen": 3185442816
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 0.66,
|
| 1324 |
+
"learning_rate": 3.458767013610889e-05,
|
| 1325 |
+
"loss": 1.1649,
|
| 1326 |
+
"theoretical_loss": 3.3339377816655986,
|
| 1327 |
+
"tokens_seen": 3186753536
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 0.66,
|
| 1331 |
+
"learning_rate": 3.418734987990392e-05,
|
| 1332 |
+
"loss": 1.1634,
|
| 1333 |
+
"theoretical_loss": 3.333834554902218,
|
| 1334 |
+
"tokens_seen": 3188064256
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 0.67,
|
| 1338 |
+
"learning_rate": 3.378702962369896e-05,
|
| 1339 |
+
"loss": 1.1794,
|
| 1340 |
+
"theoretical_loss": 3.333731382447723,
|
| 1341 |
+
"tokens_seen": 3189374976
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 0.67,
|
| 1345 |
+
"learning_rate": 3.3386709367493994e-05,
|
| 1346 |
+
"loss": 1.198,
|
| 1347 |
+
"theoretical_loss": 3.3336282642512396,
|
| 1348 |
+
"tokens_seen": 3190685696
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 0.67,
|
| 1352 |
+
"learning_rate": 3.298638911128903e-05,
|
| 1353 |
+
"loss": 1.2303,
|
| 1354 |
+
"theoretical_loss": 3.3335252002619624,
|
| 1355 |
+
"tokens_seen": 3191996416
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 0.68,
|
| 1359 |
+
"learning_rate": 3.2586068855084065e-05,
|
| 1360 |
+
"loss": 1.1872,
|
| 1361 |
+
"theoretical_loss": 3.3334221904291543,
|
| 1362 |
+
"tokens_seen": 3193307136
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 0.68,
|
| 1366 |
+
"learning_rate": 3.2185748598879104e-05,
|
| 1367 |
+
"loss": 1.2312,
|
| 1368 |
+
"theoretical_loss": 3.3333192347021465,
|
| 1369 |
+
"tokens_seen": 3194617856
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 0.69,
|
| 1373 |
+
"learning_rate": 3.178542834267414e-05,
|
| 1374 |
+
"loss": 1.1745,
|
| 1375 |
+
"theoretical_loss": 3.3332163330303386,
|
| 1376 |
+
"tokens_seen": 3195928576
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 0.69,
|
| 1380 |
+
"learning_rate": 3.1385108086469176e-05,
|
| 1381 |
+
"loss": 1.154,
|
| 1382 |
+
"theoretical_loss": 3.3331134853631976,
|
| 1383 |
+
"tokens_seen": 3197239296
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 0.69,
|
| 1387 |
+
"objective/train/docs_used": 1072138,
|
| 1388 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1389 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1390 |
+
"objective/train/original_loss": 1.2706128358840942,
|
| 1391 |
+
"objective/train/theoretical_loss": 3.3330106916502595,
|
| 1392 |
+
"objective/train/tokens_used": 249834976,
|
| 1393 |
+
"theoretical_loss": 3.3330106916502595,
|
| 1394 |
+
"tokens_seen": 3198550016
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 0.69,
|
| 1398 |
+
"learning_rate": 3.098478783026421e-05,
|
| 1399 |
+
"loss": 1.1748,
|
| 1400 |
+
"theoretical_loss": 3.3330106916502595,
|
| 1401 |
+
"tokens_seen": 3198550016
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 0.7,
|
| 1405 |
+
"learning_rate": 3.058446757405925e-05,
|
| 1406 |
+
"loss": 1.1756,
|
| 1407 |
+
"theoretical_loss": 3.332907951841127,
|
| 1408 |
+
"tokens_seen": 3199860736
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 0.7,
|
| 1412 |
+
"learning_rate": 3.0184147317854284e-05,
|
| 1413 |
+
"loss": 1.1718,
|
| 1414 |
+
"theoretical_loss": 3.332805265885471,
|
| 1415 |
+
"tokens_seen": 3201171456
|
| 1416 |
+
},
|
| 1417 |
+
{
|
| 1418 |
+
"epoch": 0.71,
|
| 1419 |
+
"learning_rate": 2.9783827061649323e-05,
|
| 1420 |
+
"loss": 1.1946,
|
| 1421 |
+
"theoretical_loss": 3.33270263373303,
|
| 1422 |
+
"tokens_seen": 3202482176
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 0.71,
|
| 1426 |
+
"learning_rate": 2.9383506805444355e-05,
|
| 1427 |
+
"loss": 1.2011,
|
| 1428 |
+
"theoretical_loss": 3.33260005533361,
|
| 1429 |
+
"tokens_seen": 3203792896
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 0.71,
|
| 1433 |
+
"learning_rate": 2.8983186549239394e-05,
|
| 1434 |
+
"loss": 1.2096,
|
| 1435 |
+
"theoretical_loss": 3.3324975306370845,
|
| 1436 |
+
"tokens_seen": 3205103616
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 0.72,
|
| 1440 |
+
"learning_rate": 2.8582866293034427e-05,
|
| 1441 |
+
"loss": 1.2184,
|
| 1442 |
+
"theoretical_loss": 3.3323950595933933,
|
| 1443 |
+
"tokens_seen": 3206414336
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 0.72,
|
| 1447 |
+
"learning_rate": 2.8182546036829466e-05,
|
| 1448 |
+
"loss": 1.1972,
|
| 1449 |
+
"theoretical_loss": 3.3322926421525447,
|
| 1450 |
+
"tokens_seen": 3207725056
|
| 1451 |
+
},
|
| 1452 |
+
{
|
| 1453 |
+
"epoch": 0.73,
|
| 1454 |
+
"learning_rate": 2.77822257806245e-05,
|
| 1455 |
+
"loss": 1.2113,
|
| 1456 |
+
"theoretical_loss": 3.332190278264613,
|
| 1457 |
+
"tokens_seen": 3209035776
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 0.73,
|
| 1461 |
+
"learning_rate": 2.7381905524419538e-05,
|
| 1462 |
+
"loss": 1.187,
|
| 1463 |
+
"theoretical_loss": 3.3320879678797395,
|
| 1464 |
+
"tokens_seen": 3210346496
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 0.73,
|
| 1468 |
+
"learning_rate": 2.698158526821457e-05,
|
| 1469 |
+
"loss": 1.1942,
|
| 1470 |
+
"theoretical_loss": 3.3319857109481323,
|
| 1471 |
+
"tokens_seen": 3211657216
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 0.74,
|
| 1475 |
+
"learning_rate": 2.658126501200961e-05,
|
| 1476 |
+
"loss": 1.2113,
|
| 1477 |
+
"theoretical_loss": 3.331883507420067,
|
| 1478 |
+
"tokens_seen": 3212967936
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 0.74,
|
| 1482 |
+
"learning_rate": 2.618094475580464e-05,
|
| 1483 |
+
"loss": 1.2045,
|
| 1484 |
+
"theoretical_loss": 3.3317813572458834,
|
| 1485 |
+
"tokens_seen": 3214278656
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 0.74,
|
| 1489 |
+
"objective/train/docs_used": 1077839,
|
| 1490 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1491 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1492 |
+
"objective/train/original_loss": 1.2560703754425049,
|
| 1493 |
+
"objective/train/theoretical_loss": 3.331730302150998,
|
| 1494 |
+
"objective/train/tokens_used": 266218976,
|
| 1495 |
+
"theoretical_loss": 3.331730302150998,
|
| 1496 |
+
"tokens_seen": 3214934016
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 0.74,
|
| 1500 |
+
"learning_rate": 2.578062449959968e-05,
|
| 1501 |
+
"loss": 1.1799,
|
| 1502 |
+
"theoretical_loss": 3.331679260375991,
|
| 1503 |
+
"tokens_seen": 3215589376
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 0.75,
|
| 1507 |
+
"learning_rate": 2.5380304243394713e-05,
|
| 1508 |
+
"loss": 1.1631,
|
| 1509 |
+
"theoretical_loss": 3.331577216760862,
|
| 1510 |
+
"tokens_seen": 3216900096
|
| 1511 |
+
},
|
| 1512 |
+
{
|
| 1513 |
+
"epoch": 0.75,
|
| 1514 |
+
"learning_rate": 2.4979983987189752e-05,
|
| 1515 |
+
"loss": 1.2042,
|
| 1516 |
+
"theoretical_loss": 3.331475226351038,
|
| 1517 |
+
"tokens_seen": 3218210816
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 0.76,
|
| 1521 |
+
"learning_rate": 2.4579663730984788e-05,
|
| 1522 |
+
"loss": 1.1682,
|
| 1523 |
+
"theoretical_loss": 3.331373289097125,
|
| 1524 |
+
"tokens_seen": 3219521536
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 0.76,
|
| 1528 |
+
"learning_rate": 2.4179343474779824e-05,
|
| 1529 |
+
"loss": 1.1773,
|
| 1530 |
+
"theoretical_loss": 3.3312714049497947,
|
| 1531 |
+
"tokens_seen": 3220832256
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 0.76,
|
| 1535 |
+
"learning_rate": 2.377902321857486e-05,
|
| 1536 |
+
"loss": 1.2112,
|
| 1537 |
+
"theoretical_loss": 3.3311695738597855,
|
| 1538 |
+
"tokens_seen": 3222142976
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 0.77,
|
| 1542 |
+
"learning_rate": 2.3378702962369896e-05,
|
| 1543 |
+
"loss": 1.17,
|
| 1544 |
+
"theoretical_loss": 3.3310677957779014,
|
| 1545 |
+
"tokens_seen": 3223453696
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 0.77,
|
| 1549 |
+
"learning_rate": 2.297838270616493e-05,
|
| 1550 |
+
"loss": 1.2002,
|
| 1551 |
+
"theoretical_loss": 3.330966070655011,
|
| 1552 |
+
"tokens_seen": 3224764416
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"epoch": 0.78,
|
| 1556 |
+
"learning_rate": 2.257806244995997e-05,
|
| 1557 |
+
"loss": 1.1872,
|
| 1558 |
+
"theoretical_loss": 3.330864398442049,
|
| 1559 |
+
"tokens_seen": 3226075136
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 0.78,
|
| 1563 |
+
"learning_rate": 2.2177742193755007e-05,
|
| 1564 |
+
"loss": 1.1743,
|
| 1565 |
+
"theoretical_loss": 3.3307627790900165,
|
| 1566 |
+
"tokens_seen": 3227385856
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 0.78,
|
| 1570 |
+
"learning_rate": 2.1777421937550042e-05,
|
| 1571 |
+
"loss": 1.1838,
|
| 1572 |
+
"theoretical_loss": 3.330661212549978,
|
| 1573 |
+
"tokens_seen": 3228696576
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 0.79,
|
| 1577 |
+
"learning_rate": 2.1377101681345078e-05,
|
| 1578 |
+
"loss": 1.2092,
|
| 1579 |
+
"theoretical_loss": 3.330559698773065,
|
| 1580 |
+
"tokens_seen": 3230007296
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 0.79,
|
| 1584 |
+
"objective/train/docs_used": 1083207,
|
| 1585 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1586 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1587 |
+
"objective/train/original_loss": 1.0579699277877808,
|
| 1588 |
+
"objective/train/theoretical_loss": 3.330458237710472,
|
| 1589 |
+
"objective/train/tokens_used": 282602976,
|
| 1590 |
+
"theoretical_loss": 3.330458237710472,
|
| 1591 |
+
"tokens_seen": 3231318016
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.79,
|
| 1595 |
+
"learning_rate": 2.0976781425140114e-05,
|
| 1596 |
+
"loss": 1.2287,
|
| 1597 |
+
"theoretical_loss": 3.330458237710472,
|
| 1598 |
+
"tokens_seen": 3231318016
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.8,
|
| 1602 |
+
"learning_rate": 2.057646116893515e-05,
|
| 1603 |
+
"loss": 1.2073,
|
| 1604 |
+
"theoretical_loss": 3.3303568293134607,
|
| 1605 |
+
"tokens_seen": 3232628736
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.8,
|
| 1609 |
+
"learning_rate": 2.0176140912730186e-05,
|
| 1610 |
+
"loss": 1.2015,
|
| 1611 |
+
"theoretical_loss": 3.3302554735333554,
|
| 1612 |
+
"tokens_seen": 3233939456
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.8,
|
| 1616 |
+
"learning_rate": 1.977582065652522e-05,
|
| 1617 |
+
"loss": 1.1982,
|
| 1618 |
+
"theoretical_loss": 3.3301541703215465,
|
| 1619 |
+
"tokens_seen": 3235250176
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.81,
|
| 1623 |
+
"learning_rate": 1.9375500400320257e-05,
|
| 1624 |
+
"loss": 1.1837,
|
| 1625 |
+
"theoretical_loss": 3.330052919629489,
|
| 1626 |
+
"tokens_seen": 3236560896
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.81,
|
| 1630 |
+
"learning_rate": 1.8975180144115293e-05,
|
| 1631 |
+
"loss": 1.2147,
|
| 1632 |
+
"theoretical_loss": 3.329951721408701,
|
| 1633 |
+
"tokens_seen": 3237871616
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.82,
|
| 1637 |
+
"learning_rate": 1.857485988791033e-05,
|
| 1638 |
+
"loss": 1.1824,
|
| 1639 |
+
"theoretical_loss": 3.3298505756107666,
|
| 1640 |
+
"tokens_seen": 3239182336
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.82,
|
| 1644 |
+
"learning_rate": 1.8174539631705365e-05,
|
| 1645 |
+
"loss": 1.168,
|
| 1646 |
+
"theoretical_loss": 3.3297494821873337,
|
| 1647 |
+
"tokens_seen": 3240493056
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.82,
|
| 1651 |
+
"learning_rate": 1.77742193755004e-05,
|
| 1652 |
+
"loss": 1.1907,
|
| 1653 |
+
"theoretical_loss": 3.3296484410901135,
|
| 1654 |
+
"tokens_seen": 3241803776
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.83,
|
| 1658 |
+
"learning_rate": 1.7373899119295436e-05,
|
| 1659 |
+
"loss": 1.1919,
|
| 1660 |
+
"theoretical_loss": 3.329547452270882,
|
| 1661 |
+
"tokens_seen": 3243114496
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.83,
|
| 1665 |
+
"learning_rate": 1.6973578863090472e-05,
|
| 1666 |
+
"loss": 1.1944,
|
| 1667 |
+
"theoretical_loss": 3.3294465156814788,
|
| 1668 |
+
"tokens_seen": 3244425216
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.84,
|
| 1672 |
+
"learning_rate": 1.6573258606885508e-05,
|
| 1673 |
+
"loss": 1.1979,
|
| 1674 |
+
"theoretical_loss": 3.3293456312738074,
|
| 1675 |
+
"tokens_seen": 3245735936
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.84,
|
| 1679 |
+
"learning_rate": 1.6172938350680544e-05,
|
| 1680 |
+
"loss": 1.1953,
|
| 1681 |
+
"theoretical_loss": 3.3292447989998353,
|
| 1682 |
+
"tokens_seen": 3247046656
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.84,
|
| 1686 |
+
"objective/train/docs_used": 1088712,
|
| 1687 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1688 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1689 |
+
"objective/train/original_loss": 1.3836427927017212,
|
| 1690 |
+
"objective/train/theoretical_loss": 3.3291944023979934,
|
| 1691 |
+
"objective/train/tokens_used": 298986976,
|
| 1692 |
+
"theoretical_loss": 3.3291944023979934,
|
| 1693 |
+
"tokens_seen": 3247702016
|
| 1694 |
+
},
|
| 1695 |
+
{
|
| 1696 |
+
"epoch": 0.84,
|
| 1697 |
+
"learning_rate": 1.577261809447558e-05,
|
| 1698 |
+
"loss": 1.1908,
|
| 1699 |
+
"theoretical_loss": 3.329144018811593,
|
| 1700 |
+
"tokens_seen": 3248357376
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 0.85,
|
| 1704 |
+
"learning_rate": 1.5372297838270615e-05,
|
| 1705 |
+
"loss": 1.2107,
|
| 1706 |
+
"theoretical_loss": 3.3290432906611747,
|
| 1707 |
+
"tokens_seen": 3249668096
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 0.85,
|
| 1711 |
+
"learning_rate": 1.4971977582065653e-05,
|
| 1712 |
+
"loss": 1.1835,
|
| 1713 |
+
"theoretical_loss": 3.328942614500739,
|
| 1714 |
+
"tokens_seen": 3250978816
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 0.86,
|
| 1718 |
+
"learning_rate": 1.4571657325860689e-05,
|
| 1719 |
+
"loss": 1.1869,
|
| 1720 |
+
"theoretical_loss": 3.328841990282505,
|
| 1721 |
+
"tokens_seen": 3252289536
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.86,
|
| 1725 |
+
"learning_rate": 1.4171337069655724e-05,
|
| 1726 |
+
"loss": 1.1829,
|
| 1727 |
+
"theoretical_loss": 3.3287414179587578,
|
| 1728 |
+
"tokens_seen": 3253600256
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 0.86,
|
| 1732 |
+
"learning_rate": 1.377101681345076e-05,
|
| 1733 |
+
"loss": 1.2076,
|
| 1734 |
+
"theoretical_loss": 3.3286408974818444,
|
| 1735 |
+
"tokens_seen": 3254910976
|
| 1736 |
+
},
|
| 1737 |
+
{
|
| 1738 |
+
"epoch": 0.87,
|
| 1739 |
+
"learning_rate": 1.3370696557245796e-05,
|
| 1740 |
+
"loss": 1.2001,
|
| 1741 |
+
"theoretical_loss": 3.328540428804175,
|
| 1742 |
+
"tokens_seen": 3256221696
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 0.87,
|
| 1746 |
+
"learning_rate": 1.2970376301040832e-05,
|
| 1747 |
+
"loss": 1.2049,
|
| 1748 |
+
"theoretical_loss": 3.3284400118782216,
|
| 1749 |
+
"tokens_seen": 3257532416
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 0.88,
|
| 1753 |
+
"learning_rate": 1.2570056044835871e-05,
|
| 1754 |
+
"loss": 1.1913,
|
| 1755 |
+
"theoretical_loss": 3.3283396466565205,
|
| 1756 |
+
"tokens_seen": 3258843136
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 0.88,
|
| 1760 |
+
"learning_rate": 1.2169735788630905e-05,
|
| 1761 |
+
"loss": 1.2069,
|
| 1762 |
+
"theoretical_loss": 3.3282393330916693,
|
| 1763 |
+
"tokens_seen": 3260153856
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.88,
|
| 1767 |
+
"learning_rate": 1.1769415532425941e-05,
|
| 1768 |
+
"loss": 1.2064,
|
| 1769 |
+
"theoretical_loss": 3.3281390711363286,
|
| 1770 |
+
"tokens_seen": 3261464576
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 0.89,
|
| 1774 |
+
"learning_rate": 1.1369095276220977e-05,
|
| 1775 |
+
"loss": 1.2006,
|
| 1776 |
+
"theoretical_loss": 3.328038860743222,
|
| 1777 |
+
"tokens_seen": 3262775296
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 0.89,
|
| 1781 |
+
"objective/train/docs_used": 1094282,
|
| 1782 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1783 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1784 |
+
"objective/train/original_loss": 1.2152605056762695,
|
| 1785 |
+
"objective/train/theoretical_loss": 3.3279387018651336,
|
| 1786 |
+
"objective/train/tokens_used": 315370976,
|
| 1787 |
+
"theoretical_loss": 3.3279387018651336,
|
| 1788 |
+
"tokens_seen": 3264086016
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.89,
|
| 1792 |
+
"learning_rate": 1.0968775020016013e-05,
|
| 1793 |
+
"loss": 1.194,
|
| 1794 |
+
"theoretical_loss": 3.3279387018651336,
|
| 1795 |
+
"tokens_seen": 3264086016
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.9,
|
| 1799 |
+
"learning_rate": 1.0568454763811048e-05,
|
| 1800 |
+
"loss": 1.1944,
|
| 1801 |
+
"theoretical_loss": 3.3278385944549114,
|
| 1802 |
+
"tokens_seen": 3265396736
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.9,
|
| 1806 |
+
"learning_rate": 1.0168134507606084e-05,
|
| 1807 |
+
"loss": 1.1825,
|
| 1808 |
+
"theoretical_loss": 3.327738538465465,
|
| 1809 |
+
"tokens_seen": 3266707456
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.9,
|
| 1813 |
+
"learning_rate": 9.76781425140112e-06,
|
| 1814 |
+
"loss": 1.2124,
|
| 1815 |
+
"theoretical_loss": 3.327638533849766,
|
| 1816 |
+
"tokens_seen": 3268018176
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.91,
|
| 1820 |
+
"learning_rate": 9.367493995196158e-06,
|
| 1821 |
+
"loss": 1.1694,
|
| 1822 |
+
"theoretical_loss": 3.3275385805608475,
|
| 1823 |
+
"tokens_seen": 3269328896
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.91,
|
| 1827 |
+
"learning_rate": 8.967173738991193e-06,
|
| 1828 |
+
"loss": 1.197,
|
| 1829 |
+
"theoretical_loss": 3.327438678551805,
|
| 1830 |
+
"tokens_seen": 3270639616
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.92,
|
| 1834 |
+
"learning_rate": 8.56685348278623e-06,
|
| 1835 |
+
"loss": 1.182,
|
| 1836 |
+
"theoretical_loss": 3.327338827775794,
|
| 1837 |
+
"tokens_seen": 3271950336
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.92,
|
| 1841 |
+
"learning_rate": 8.166533226581267e-06,
|
| 1842 |
+
"loss": 1.1969,
|
| 1843 |
+
"theoretical_loss": 3.3272390281860336,
|
| 1844 |
+
"tokens_seen": 3273261056
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.92,
|
| 1848 |
+
"learning_rate": 7.766212970376303e-06,
|
| 1849 |
+
"loss": 1.2071,
|
| 1850 |
+
"theoretical_loss": 3.3271392797358033,
|
| 1851 |
+
"tokens_seen": 3274571776
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.93,
|
| 1855 |
+
"learning_rate": 7.365892714171338e-06,
|
| 1856 |
+
"loss": 1.189,
|
| 1857 |
+
"theoretical_loss": 3.3270395823784438,
|
| 1858 |
+
"tokens_seen": 3275882496
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.93,
|
| 1862 |
+
"learning_rate": 6.965572457966374e-06,
|
| 1863 |
+
"loss": 1.1974,
|
| 1864 |
+
"theoretical_loss": 3.3269399360673577,
|
| 1865 |
+
"tokens_seen": 3277193216
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.94,
|
| 1869 |
+
"learning_rate": 6.56525220176141e-06,
|
| 1870 |
+
"loss": 1.1943,
|
| 1871 |
+
"theoretical_loss": 3.326840340756008,
|
| 1872 |
+
"tokens_seen": 3278503936
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.94,
|
| 1876 |
+
"learning_rate": 6.164931945556445e-06,
|
| 1877 |
+
"loss": 1.1973,
|
| 1878 |
+
"theoretical_loss": 3.326740796397919,
|
| 1879 |
+
"tokens_seen": 3279814656
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.94,
|
| 1883 |
+
"objective/train/docs_used": 1099304,
|
| 1884 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1885 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1886 |
+
"objective/train/original_loss": 1.176795244216919,
|
| 1887 |
+
"objective/train/theoretical_loss": 3.3266910433118406,
|
| 1888 |
+
"objective/train/tokens_used": 331754976,
|
| 1889 |
+
"theoretical_loss": 3.3266910433118406,
|
| 1890 |
+
"tokens_seen": 3280470016
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 0.94,
|
| 1894 |
+
"learning_rate": 5.764611689351482e-06,
|
| 1895 |
+
"loss": 1.2127,
|
| 1896 |
+
"theoretical_loss": 3.326641302946676,
|
| 1897 |
+
"tokens_seen": 3281125376
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 0.95,
|
| 1901 |
+
"learning_rate": 5.364291433146517e-06,
|
| 1902 |
+
"loss": 1.2018,
|
| 1903 |
+
"theoretical_loss": 3.3265418603559254,
|
| 1904 |
+
"tokens_seen": 3282436096
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 0.95,
|
| 1908 |
+
"learning_rate": 4.963971176941554e-06,
|
| 1909 |
+
"loss": 1.2106,
|
| 1910 |
+
"theoretical_loss": 3.3264424685793736,
|
| 1911 |
+
"tokens_seen": 3283746816
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 0.95,
|
| 1915 |
+
"learning_rate": 4.56365092073659e-06,
|
| 1916 |
+
"loss": 1.2272,
|
| 1917 |
+
"theoretical_loss": 3.3263431275707873,
|
| 1918 |
+
"tokens_seen": 3285057536
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"epoch": 0.96,
|
| 1922 |
+
"learning_rate": 4.163330664531626e-06,
|
| 1923 |
+
"loss": 1.2277,
|
| 1924 |
+
"theoretical_loss": 3.326243837283995,
|
| 1925 |
+
"tokens_seen": 3286368256
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 0.96,
|
| 1929 |
+
"learning_rate": 3.7630104083266615e-06,
|
| 1930 |
+
"loss": 1.2,
|
| 1931 |
+
"theoretical_loss": 3.3261445976728847,
|
| 1932 |
+
"tokens_seen": 3287678976
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 0.97,
|
| 1936 |
+
"learning_rate": 3.3626901521216973e-06,
|
| 1937 |
+
"loss": 1.22,
|
| 1938 |
+
"theoretical_loss": 3.326045408691405,
|
| 1939 |
+
"tokens_seen": 3288989696
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 0.97,
|
| 1943 |
+
"learning_rate": 2.9623698959167336e-06,
|
| 1944 |
+
"loss": 1.2111,
|
| 1945 |
+
"theoretical_loss": 3.325946270293564,
|
| 1946 |
+
"tokens_seen": 3290300416
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 0.97,
|
| 1950 |
+
"learning_rate": 2.5620496397117694e-06,
|
| 1951 |
+
"loss": 1.2237,
|
| 1952 |
+
"theoretical_loss": 3.325847182433431,
|
| 1953 |
+
"tokens_seen": 3291611136
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 0.98,
|
| 1957 |
+
"learning_rate": 2.1617293835068056e-06,
|
| 1958 |
+
"loss": 1.2292,
|
| 1959 |
+
"theoretical_loss": 3.3257481450651345,
|
| 1960 |
+
"tokens_seen": 3292921856
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 0.98,
|
| 1964 |
+
"learning_rate": 1.7614091273018416e-06,
|
| 1965 |
+
"loss": 1.215,
|
| 1966 |
+
"theoretical_loss": 3.3256491581428627,
|
| 1967 |
+
"tokens_seen": 3294232576
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 0.99,
|
| 1971 |
+
"learning_rate": 1.3610888710968776e-06,
|
| 1972 |
+
"loss": 1.2078,
|
| 1973 |
+
"theoretical_loss": 3.3255502216208646,
|
| 1974 |
+
"tokens_seen": 3295543296
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"debugging/Compilability": 0.25,
|
| 1978 |
+
"debugging/distinct-1-grams": 0.768983161927808,
|
| 1979 |
+
"debugging/entropy-1-grams": 4.491711503358519,
|
| 1980 |
+
"debugging/length": 539.25,
|
| 1981 |
+
"debugging/num_segments": 4,
|
| 1982 |
+
"debugging/score": 0.04511501617028631,
|
| 1983 |
+
"debugging/score_std": 0.0262681073552483,
|
| 1984 |
+
"epoch": 0.99,
|
| 1985 |
+
"objective/train/docs_used": 1104945,
|
| 1986 |
+
"objective/train/instantaneous_batch_size": 16,
|
| 1987 |
+
"objective/train/instantaneous_microbatch_size": 16384,
|
| 1988 |
+
"objective/train/original_loss": 1.3169536590576172,
|
| 1989 |
+
"objective/train/theoretical_loss": 3.325451335453448,
|
| 1990 |
+
"objective/train/tokens_used": 348138976,
|
| 1991 |
+
"theoretical_loss": 3.325451335453448,
|
| 1992 |
+
"tokens_seen": 3296854016
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"epoch": 0.99,
|
| 1996 |
+
"learning_rate": 9.607686148919135e-07,
|
| 1997 |
+
"loss": 1.2221,
|
| 1998 |
+
"theoretical_loss": 3.325451335453448,
|
| 1999 |
+
"tokens_seen": 3296854016
|
| 2000 |
+
}
|
| 2001 |
+
],
|
| 2002 |
+
"max_steps": 2524,
|
| 2003 |
+
"num_train_epochs": 9223372036854775807,
|
| 2004 |
+
"total_flos": 1.6722690048e+17,
|
| 2005 |
+
"trial_name": null,
|
| 2006 |
+
"trial_params": null
|
| 2007 |
+
}
|
checkpoint-2500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd7e58ec43308a2941cc2c808aad74dba29163ebf0ef8c873fc21f72e2fc9ddb
|
| 3 |
+
size 3375
|
checkpoint-2500/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 456676457
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e05a346d21c39b63666517f69ddf0dd299562cfe34bf9c9fdee8d3c6ba77bd5
|
| 3 |
size 456676457
|