Uploaded checkpoint-2000
Browse files- config.json +30 -0
- generation_config.json +4 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1429 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "CMU-AIR2/math-phi-1-5-FULL-Arithmetic-4k",
|
3 |
+
"architectures": [
|
4 |
+
"PhiForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": null,
|
8 |
+
"embd_pdrop": 0.0,
|
9 |
+
"eos_token_id": null,
|
10 |
+
"hidden_act": "gelu_new",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 8192,
|
14 |
+
"layer_norm_eps": 1e-05,
|
15 |
+
"max_position_embeddings": 2048,
|
16 |
+
"model_type": "phi",
|
17 |
+
"num_attention_heads": 32,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"num_key_value_heads": 32,
|
20 |
+
"partial_rotary_factor": 0.5,
|
21 |
+
"qk_layernorm": false,
|
22 |
+
"resid_pdrop": 0.0,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": false,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.38.2",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 51200
|
30 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"transformers_version": "4.38.2"
|
4 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d3586c6331bfcf2b0d020346c73a6af61de746cc89cae014b60a45418b6b6a4a
|
3 |
+
size 2836579040
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:61b96492cf7776831d3a7d14e0db4dda83e57487109c1a193ffbe14873067cc3
|
3 |
+
size 5673376169
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e17eb4a09697098a6f01331dbc222aa9fdeaa24c11a34f78fe9a943d05bf80e
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7e843611c4040f67481738e5b72625984afb6b26e66c8ec6bac2dab49b2072a4
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,1429 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.7172314864622557,
|
5 |
+
"eval_steps": 2000,
|
6 |
+
"global_step": 2000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"grad_norm": 5.90625,
|
14 |
+
"learning_rate": 3.0000000000000004e-07,
|
15 |
+
"loss": 1.4893,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01,
|
20 |
+
"grad_norm": 10.0625,
|
21 |
+
"learning_rate": 6.000000000000001e-07,
|
22 |
+
"loss": 1.6671,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.01,
|
27 |
+
"grad_norm": 7.03125,
|
28 |
+
"learning_rate": 9e-07,
|
29 |
+
"loss": 1.3866,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.01,
|
34 |
+
"grad_norm": 5.9375,
|
35 |
+
"learning_rate": 1.2000000000000002e-06,
|
36 |
+
"loss": 1.433,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.02,
|
41 |
+
"grad_norm": 8.1875,
|
42 |
+
"learning_rate": 1.5e-06,
|
43 |
+
"loss": 1.4135,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.02,
|
48 |
+
"grad_norm": 8.375,
|
49 |
+
"learning_rate": 1.8e-06,
|
50 |
+
"loss": 1.3779,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.03,
|
55 |
+
"grad_norm": 7.15625,
|
56 |
+
"learning_rate": 2.1000000000000002e-06,
|
57 |
+
"loss": 1.4444,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.03,
|
62 |
+
"grad_norm": 7.71875,
|
63 |
+
"learning_rate": 2.4000000000000003e-06,
|
64 |
+
"loss": 1.3717,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03,
|
69 |
+
"grad_norm": 6.65625,
|
70 |
+
"learning_rate": 2.7e-06,
|
71 |
+
"loss": 1.3646,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.04,
|
76 |
+
"grad_norm": 6.03125,
|
77 |
+
"learning_rate": 3e-06,
|
78 |
+
"loss": 1.4607,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.04,
|
83 |
+
"grad_norm": 7.125,
|
84 |
+
"learning_rate": 3.3e-06,
|
85 |
+
"loss": 1.509,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04,
|
90 |
+
"grad_norm": 6.90625,
|
91 |
+
"learning_rate": 3.6e-06,
|
92 |
+
"loss": 1.2552,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.05,
|
97 |
+
"grad_norm": 7.78125,
|
98 |
+
"learning_rate": 3.9e-06,
|
99 |
+
"loss": 1.3142,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.05,
|
104 |
+
"grad_norm": 6.8125,
|
105 |
+
"learning_rate": 4.2000000000000004e-06,
|
106 |
+
"loss": 1.3774,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.05,
|
111 |
+
"grad_norm": 8.375,
|
112 |
+
"learning_rate": 4.5e-06,
|
113 |
+
"loss": 1.3869,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06,
|
118 |
+
"grad_norm": 5.1875,
|
119 |
+
"learning_rate": 4.800000000000001e-06,
|
120 |
+
"loss": 1.2843,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.06,
|
125 |
+
"grad_norm": 5.71875,
|
126 |
+
"learning_rate": 5.1e-06,
|
127 |
+
"loss": 1.3458,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.06,
|
132 |
+
"grad_norm": 6.21875,
|
133 |
+
"learning_rate": 5.4e-06,
|
134 |
+
"loss": 1.2259,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.07,
|
139 |
+
"grad_norm": 5.71875,
|
140 |
+
"learning_rate": 5.7000000000000005e-06,
|
141 |
+
"loss": 1.1647,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.07,
|
146 |
+
"grad_norm": 5.875,
|
147 |
+
"learning_rate": 6e-06,
|
148 |
+
"loss": 1.0721,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.08,
|
153 |
+
"grad_norm": 5.09375,
|
154 |
+
"learning_rate": 6.3e-06,
|
155 |
+
"loss": 1.0382,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.08,
|
160 |
+
"grad_norm": 5.1875,
|
161 |
+
"learning_rate": 6.6e-06,
|
162 |
+
"loss": 1.1419,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.08,
|
167 |
+
"grad_norm": 5.1875,
|
168 |
+
"learning_rate": 6.900000000000001e-06,
|
169 |
+
"loss": 1.0656,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.09,
|
174 |
+
"grad_norm": 4.8125,
|
175 |
+
"learning_rate": 7.2e-06,
|
176 |
+
"loss": 1.1806,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.09,
|
181 |
+
"grad_norm": 3.84375,
|
182 |
+
"learning_rate": 7.5e-06,
|
183 |
+
"loss": 0.9791,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.09,
|
188 |
+
"grad_norm": 6.5625,
|
189 |
+
"learning_rate": 7.8e-06,
|
190 |
+
"loss": 1.1894,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.1,
|
195 |
+
"grad_norm": 3.65625,
|
196 |
+
"learning_rate": 8.1e-06,
|
197 |
+
"loss": 0.91,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.1,
|
202 |
+
"grad_norm": 4.90625,
|
203 |
+
"learning_rate": 8.400000000000001e-06,
|
204 |
+
"loss": 1.0708,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.1,
|
209 |
+
"grad_norm": 6.53125,
|
210 |
+
"learning_rate": 8.7e-06,
|
211 |
+
"loss": 0.9747,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.11,
|
216 |
+
"grad_norm": 4.28125,
|
217 |
+
"learning_rate": 9e-06,
|
218 |
+
"loss": 1.0158,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.11,
|
223 |
+
"grad_norm": 4.34375,
|
224 |
+
"learning_rate": 9.3e-06,
|
225 |
+
"loss": 1.1078,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.11,
|
230 |
+
"grad_norm": 3.171875,
|
231 |
+
"learning_rate": 9.600000000000001e-06,
|
232 |
+
"loss": 1.0437,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.12,
|
237 |
+
"grad_norm": 4.25,
|
238 |
+
"learning_rate": 9.9e-06,
|
239 |
+
"loss": 0.9891,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.12,
|
244 |
+
"grad_norm": 4.875,
|
245 |
+
"learning_rate": 1.02e-05,
|
246 |
+
"loss": 0.8667,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.13,
|
251 |
+
"grad_norm": 3.703125,
|
252 |
+
"learning_rate": 1.05e-05,
|
253 |
+
"loss": 1.0903,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.13,
|
258 |
+
"grad_norm": 3.390625,
|
259 |
+
"learning_rate": 1.08e-05,
|
260 |
+
"loss": 0.9947,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.13,
|
265 |
+
"grad_norm": 5.6875,
|
266 |
+
"learning_rate": 1.11e-05,
|
267 |
+
"loss": 1.043,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.14,
|
272 |
+
"grad_norm": 3.03125,
|
273 |
+
"learning_rate": 1.1400000000000001e-05,
|
274 |
+
"loss": 0.8305,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.14,
|
279 |
+
"grad_norm": 6.0625,
|
280 |
+
"learning_rate": 1.1700000000000001e-05,
|
281 |
+
"loss": 0.9741,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.14,
|
286 |
+
"grad_norm": 4.34375,
|
287 |
+
"learning_rate": 1.2e-05,
|
288 |
+
"loss": 1.219,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.15,
|
293 |
+
"grad_norm": 5.53125,
|
294 |
+
"learning_rate": 1.2299999999999999e-05,
|
295 |
+
"loss": 1.0167,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.15,
|
300 |
+
"grad_norm": 3.578125,
|
301 |
+
"learning_rate": 1.26e-05,
|
302 |
+
"loss": 0.87,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.15,
|
307 |
+
"grad_norm": 5.59375,
|
308 |
+
"learning_rate": 1.29e-05,
|
309 |
+
"loss": 1.0169,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.16,
|
314 |
+
"grad_norm": 3.453125,
|
315 |
+
"learning_rate": 1.32e-05,
|
316 |
+
"loss": 0.9178,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.16,
|
321 |
+
"grad_norm": 4.21875,
|
322 |
+
"learning_rate": 1.3500000000000001e-05,
|
323 |
+
"loss": 1.0044,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.16,
|
328 |
+
"grad_norm": 4.875,
|
329 |
+
"learning_rate": 1.3800000000000002e-05,
|
330 |
+
"loss": 0.897,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.17,
|
335 |
+
"grad_norm": 3.5,
|
336 |
+
"learning_rate": 1.4099999999999999e-05,
|
337 |
+
"loss": 0.8968,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.17,
|
342 |
+
"grad_norm": 5.15625,
|
343 |
+
"learning_rate": 1.44e-05,
|
344 |
+
"loss": 0.9446,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.18,
|
349 |
+
"grad_norm": 2.375,
|
350 |
+
"learning_rate": 1.47e-05,
|
351 |
+
"loss": 0.8887,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.18,
|
356 |
+
"grad_norm": 3.84375,
|
357 |
+
"learning_rate": 1.5e-05,
|
358 |
+
"loss": 1.0239,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.18,
|
363 |
+
"grad_norm": 2.390625,
|
364 |
+
"learning_rate": 1.4984210526315789e-05,
|
365 |
+
"loss": 0.9251,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.19,
|
370 |
+
"grad_norm": 4.9375,
|
371 |
+
"learning_rate": 1.496842105263158e-05,
|
372 |
+
"loss": 0.9681,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.19,
|
377 |
+
"grad_norm": 4.6875,
|
378 |
+
"learning_rate": 1.4952631578947368e-05,
|
379 |
+
"loss": 0.8625,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.19,
|
384 |
+
"grad_norm": 3.734375,
|
385 |
+
"learning_rate": 1.4936842105263158e-05,
|
386 |
+
"loss": 0.9131,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.2,
|
391 |
+
"grad_norm": 3.1875,
|
392 |
+
"learning_rate": 1.4921052631578947e-05,
|
393 |
+
"loss": 0.8903,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.2,
|
398 |
+
"grad_norm": 4.09375,
|
399 |
+
"learning_rate": 1.4905263157894737e-05,
|
400 |
+
"loss": 0.9482,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.2,
|
405 |
+
"grad_norm": 2.921875,
|
406 |
+
"learning_rate": 1.4889473684210526e-05,
|
407 |
+
"loss": 0.8134,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.21,
|
412 |
+
"grad_norm": 4.15625,
|
413 |
+
"learning_rate": 1.4873684210526315e-05,
|
414 |
+
"loss": 0.896,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.21,
|
419 |
+
"grad_norm": 5.46875,
|
420 |
+
"learning_rate": 1.4857894736842107e-05,
|
421 |
+
"loss": 0.9682,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.22,
|
426 |
+
"grad_norm": 3.90625,
|
427 |
+
"learning_rate": 1.4842105263157895e-05,
|
428 |
+
"loss": 0.8046,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.22,
|
433 |
+
"grad_norm": 3.96875,
|
434 |
+
"learning_rate": 1.4826315789473686e-05,
|
435 |
+
"loss": 0.9797,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.22,
|
440 |
+
"grad_norm": 3.171875,
|
441 |
+
"learning_rate": 1.4810526315789474e-05,
|
442 |
+
"loss": 0.8386,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.23,
|
447 |
+
"grad_norm": 4.46875,
|
448 |
+
"learning_rate": 1.4794736842105265e-05,
|
449 |
+
"loss": 0.9006,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.23,
|
454 |
+
"grad_norm": 4.0,
|
455 |
+
"learning_rate": 1.4778947368421053e-05,
|
456 |
+
"loss": 0.8116,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.23,
|
461 |
+
"grad_norm": 4.03125,
|
462 |
+
"learning_rate": 1.4763157894736842e-05,
|
463 |
+
"loss": 0.8465,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.24,
|
468 |
+
"grad_norm": 4.09375,
|
469 |
+
"learning_rate": 1.4747368421052632e-05,
|
470 |
+
"loss": 0.843,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.24,
|
475 |
+
"grad_norm": 3.21875,
|
476 |
+
"learning_rate": 1.4731578947368421e-05,
|
477 |
+
"loss": 0.9078,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.24,
|
482 |
+
"grad_norm": 3.53125,
|
483 |
+
"learning_rate": 1.4715789473684211e-05,
|
484 |
+
"loss": 0.855,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.25,
|
489 |
+
"grad_norm": 3.546875,
|
490 |
+
"learning_rate": 1.47e-05,
|
491 |
+
"loss": 0.9115,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.25,
|
496 |
+
"grad_norm": 4.5625,
|
497 |
+
"learning_rate": 1.468421052631579e-05,
|
498 |
+
"loss": 0.8013,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.25,
|
503 |
+
"grad_norm": 3.515625,
|
504 |
+
"learning_rate": 1.4668421052631579e-05,
|
505 |
+
"loss": 0.8253,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.26,
|
510 |
+
"grad_norm": 3.4375,
|
511 |
+
"learning_rate": 1.4652631578947367e-05,
|
512 |
+
"loss": 0.8778,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.26,
|
517 |
+
"grad_norm": 6.4375,
|
518 |
+
"learning_rate": 1.4636842105263158e-05,
|
519 |
+
"loss": 0.9265,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.27,
|
524 |
+
"grad_norm": 4.0625,
|
525 |
+
"learning_rate": 1.4621052631578946e-05,
|
526 |
+
"loss": 0.8955,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.27,
|
531 |
+
"grad_norm": 3.6875,
|
532 |
+
"learning_rate": 1.4605263157894737e-05,
|
533 |
+
"loss": 0.8791,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.27,
|
538 |
+
"grad_norm": 3.703125,
|
539 |
+
"learning_rate": 1.4589473684210527e-05,
|
540 |
+
"loss": 0.8493,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.28,
|
545 |
+
"grad_norm": 3.984375,
|
546 |
+
"learning_rate": 1.4573684210526317e-05,
|
547 |
+
"loss": 0.9307,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.28,
|
552 |
+
"grad_norm": 3.125,
|
553 |
+
"learning_rate": 1.4557894736842106e-05,
|
554 |
+
"loss": 0.9093,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.28,
|
559 |
+
"grad_norm": 4.40625,
|
560 |
+
"learning_rate": 1.4542105263157895e-05,
|
561 |
+
"loss": 0.873,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.29,
|
566 |
+
"grad_norm": 4.21875,
|
567 |
+
"learning_rate": 1.4526315789473685e-05,
|
568 |
+
"loss": 0.9238,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.29,
|
573 |
+
"grad_norm": 3.25,
|
574 |
+
"learning_rate": 1.4510526315789474e-05,
|
575 |
+
"loss": 0.8425,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.29,
|
580 |
+
"grad_norm": 3.125,
|
581 |
+
"learning_rate": 1.4494736842105264e-05,
|
582 |
+
"loss": 0.9208,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.3,
|
587 |
+
"grad_norm": 5.625,
|
588 |
+
"learning_rate": 1.4478947368421053e-05,
|
589 |
+
"loss": 0.8656,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.3,
|
594 |
+
"grad_norm": 2.890625,
|
595 |
+
"learning_rate": 1.4463157894736843e-05,
|
596 |
+
"loss": 0.9557,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3,
|
601 |
+
"grad_norm": 4.15625,
|
602 |
+
"learning_rate": 1.4447368421052632e-05,
|
603 |
+
"loss": 0.859,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.31,
|
608 |
+
"grad_norm": 3.984375,
|
609 |
+
"learning_rate": 1.443157894736842e-05,
|
610 |
+
"loss": 0.9057,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.31,
|
615 |
+
"grad_norm": 3.890625,
|
616 |
+
"learning_rate": 1.441578947368421e-05,
|
617 |
+
"loss": 0.9119,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.32,
|
622 |
+
"grad_norm": 4.34375,
|
623 |
+
"learning_rate": 1.44e-05,
|
624 |
+
"loss": 0.8758,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.32,
|
629 |
+
"grad_norm": 3.828125,
|
630 |
+
"learning_rate": 1.438421052631579e-05,
|
631 |
+
"loss": 0.8534,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.32,
|
636 |
+
"grad_norm": 2.59375,
|
637 |
+
"learning_rate": 1.4368421052631578e-05,
|
638 |
+
"loss": 0.8624,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.33,
|
643 |
+
"grad_norm": 3.828125,
|
644 |
+
"learning_rate": 1.4352631578947369e-05,
|
645 |
+
"loss": 0.8776,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.33,
|
650 |
+
"grad_norm": 4.5625,
|
651 |
+
"learning_rate": 1.4336842105263159e-05,
|
652 |
+
"loss": 0.7811,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.33,
|
657 |
+
"grad_norm": 3.71875,
|
658 |
+
"learning_rate": 1.4321052631578948e-05,
|
659 |
+
"loss": 0.9363,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.34,
|
664 |
+
"grad_norm": 3.359375,
|
665 |
+
"learning_rate": 1.4305263157894738e-05,
|
666 |
+
"loss": 0.87,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.34,
|
671 |
+
"grad_norm": 3.875,
|
672 |
+
"learning_rate": 1.4289473684210527e-05,
|
673 |
+
"loss": 0.8802,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.34,
|
678 |
+
"grad_norm": 3.5625,
|
679 |
+
"learning_rate": 1.4273684210526317e-05,
|
680 |
+
"loss": 0.8649,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.35,
|
685 |
+
"grad_norm": 5.1875,
|
686 |
+
"learning_rate": 1.4257894736842106e-05,
|
687 |
+
"loss": 0.8778,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.35,
|
692 |
+
"grad_norm": 5.1875,
|
693 |
+
"learning_rate": 1.4242105263157896e-05,
|
694 |
+
"loss": 0.9465,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.36,
|
699 |
+
"grad_norm": 3.40625,
|
700 |
+
"learning_rate": 1.4226315789473685e-05,
|
701 |
+
"loss": 0.7351,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.36,
|
706 |
+
"grad_norm": 3.65625,
|
707 |
+
"learning_rate": 1.4210526315789473e-05,
|
708 |
+
"loss": 0.8345,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.36,
|
713 |
+
"grad_norm": 4.34375,
|
714 |
+
"learning_rate": 1.4194736842105264e-05,
|
715 |
+
"loss": 0.844,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.37,
|
720 |
+
"grad_norm": 3.546875,
|
721 |
+
"learning_rate": 1.4178947368421052e-05,
|
722 |
+
"loss": 0.8772,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.37,
|
727 |
+
"grad_norm": 3.859375,
|
728 |
+
"learning_rate": 1.4163157894736843e-05,
|
729 |
+
"loss": 0.8421,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.37,
|
734 |
+
"grad_norm": 4.1875,
|
735 |
+
"learning_rate": 1.4147368421052631e-05,
|
736 |
+
"loss": 0.8795,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.38,
|
741 |
+
"grad_norm": 3.28125,
|
742 |
+
"learning_rate": 1.4131578947368422e-05,
|
743 |
+
"loss": 0.7592,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.38,
|
748 |
+
"grad_norm": 5.375,
|
749 |
+
"learning_rate": 1.411578947368421e-05,
|
750 |
+
"loss": 0.8124,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.38,
|
755 |
+
"grad_norm": 2.84375,
|
756 |
+
"learning_rate": 1.4099999999999999e-05,
|
757 |
+
"loss": 0.7272,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.39,
|
762 |
+
"grad_norm": 3.125,
|
763 |
+
"learning_rate": 1.408421052631579e-05,
|
764 |
+
"loss": 0.7565,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.39,
|
769 |
+
"grad_norm": 3.34375,
|
770 |
+
"learning_rate": 1.406842105263158e-05,
|
771 |
+
"loss": 0.957,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.39,
|
776 |
+
"grad_norm": 4.78125,
|
777 |
+
"learning_rate": 1.405263157894737e-05,
|
778 |
+
"loss": 0.8601,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.4,
|
783 |
+
"grad_norm": 2.828125,
|
784 |
+
"learning_rate": 1.4036842105263158e-05,
|
785 |
+
"loss": 0.9521,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.4,
|
790 |
+
"grad_norm": 3.3125,
|
791 |
+
"learning_rate": 1.4021052631578949e-05,
|
792 |
+
"loss": 0.8389,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.41,
|
797 |
+
"grad_norm": 5.40625,
|
798 |
+
"learning_rate": 1.4005263157894737e-05,
|
799 |
+
"loss": 0.7895,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.41,
|
804 |
+
"grad_norm": 3.546875,
|
805 |
+
"learning_rate": 1.3989473684210526e-05,
|
806 |
+
"loss": 0.9063,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.41,
|
811 |
+
"grad_norm": 3.015625,
|
812 |
+
"learning_rate": 1.3973684210526316e-05,
|
813 |
+
"loss": 0.8427,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.42,
|
818 |
+
"grad_norm": 4.25,
|
819 |
+
"learning_rate": 1.3957894736842105e-05,
|
820 |
+
"loss": 0.8178,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.42,
|
825 |
+
"grad_norm": 3.546875,
|
826 |
+
"learning_rate": 1.3942105263157895e-05,
|
827 |
+
"loss": 0.8688,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.42,
|
832 |
+
"grad_norm": 3.4375,
|
833 |
+
"learning_rate": 1.3926315789473684e-05,
|
834 |
+
"loss": 0.8471,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.43,
|
839 |
+
"grad_norm": 4.28125,
|
840 |
+
"learning_rate": 1.3910526315789474e-05,
|
841 |
+
"loss": 0.7473,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.43,
|
846 |
+
"grad_norm": 3.609375,
|
847 |
+
"learning_rate": 1.3894736842105263e-05,
|
848 |
+
"loss": 0.903,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.43,
|
853 |
+
"grad_norm": 3.46875,
|
854 |
+
"learning_rate": 1.3878947368421052e-05,
|
855 |
+
"loss": 0.9214,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.44,
|
860 |
+
"grad_norm": 3.75,
|
861 |
+
"learning_rate": 1.3863157894736842e-05,
|
862 |
+
"loss": 0.9448,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.44,
|
867 |
+
"grad_norm": 2.609375,
|
868 |
+
"learning_rate": 1.384736842105263e-05,
|
869 |
+
"loss": 0.7912,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.44,
|
874 |
+
"grad_norm": 5.71875,
|
875 |
+
"learning_rate": 1.3831578947368421e-05,
|
876 |
+
"loss": 0.887,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.45,
|
881 |
+
"grad_norm": 3.15625,
|
882 |
+
"learning_rate": 1.3815789473684211e-05,
|
883 |
+
"loss": 0.8479,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.45,
|
888 |
+
"grad_norm": 3.125,
|
889 |
+
"learning_rate": 1.3800000000000002e-05,
|
890 |
+
"loss": 0.7985,
|
891 |
+
"step": 1260
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.46,
|
895 |
+
"grad_norm": 4.03125,
|
896 |
+
"learning_rate": 1.378421052631579e-05,
|
897 |
+
"loss": 0.7114,
|
898 |
+
"step": 1270
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.46,
|
902 |
+
"grad_norm": 3.765625,
|
903 |
+
"learning_rate": 1.3768421052631579e-05,
|
904 |
+
"loss": 0.8742,
|
905 |
+
"step": 1280
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.46,
|
909 |
+
"grad_norm": 3.984375,
|
910 |
+
"learning_rate": 1.375263157894737e-05,
|
911 |
+
"loss": 0.8908,
|
912 |
+
"step": 1290
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.47,
|
916 |
+
"grad_norm": 3.640625,
|
917 |
+
"learning_rate": 1.3736842105263158e-05,
|
918 |
+
"loss": 0.8237,
|
919 |
+
"step": 1300
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.47,
|
923 |
+
"grad_norm": 3.78125,
|
924 |
+
"learning_rate": 1.3721052631578948e-05,
|
925 |
+
"loss": 0.7752,
|
926 |
+
"step": 1310
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.47,
|
930 |
+
"grad_norm": 4.71875,
|
931 |
+
"learning_rate": 1.3705263157894737e-05,
|
932 |
+
"loss": 0.8437,
|
933 |
+
"step": 1320
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.48,
|
937 |
+
"grad_norm": 2.875,
|
938 |
+
"learning_rate": 1.3689473684210527e-05,
|
939 |
+
"loss": 0.7395,
|
940 |
+
"step": 1330
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.48,
|
944 |
+
"grad_norm": 3.375,
|
945 |
+
"learning_rate": 1.3673684210526316e-05,
|
946 |
+
"loss": 0.9191,
|
947 |
+
"step": 1340
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.48,
|
951 |
+
"grad_norm": 4.65625,
|
952 |
+
"learning_rate": 1.3657894736842106e-05,
|
953 |
+
"loss": 0.8401,
|
954 |
+
"step": 1350
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.49,
|
958 |
+
"grad_norm": 3.625,
|
959 |
+
"learning_rate": 1.3642105263157895e-05,
|
960 |
+
"loss": 0.7785,
|
961 |
+
"step": 1360
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.49,
|
965 |
+
"grad_norm": 4.25,
|
966 |
+
"learning_rate": 1.3626315789473684e-05,
|
967 |
+
"loss": 0.9515,
|
968 |
+
"step": 1370
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.49,
|
972 |
+
"grad_norm": 2.78125,
|
973 |
+
"learning_rate": 1.3610526315789474e-05,
|
974 |
+
"loss": 0.8812,
|
975 |
+
"step": 1380
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.5,
|
979 |
+
"grad_norm": 2.296875,
|
980 |
+
"learning_rate": 1.3594736842105263e-05,
|
981 |
+
"loss": 0.8685,
|
982 |
+
"step": 1390
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.5,
|
986 |
+
"grad_norm": 4.03125,
|
987 |
+
"learning_rate": 1.3578947368421053e-05,
|
988 |
+
"loss": 0.9704,
|
989 |
+
"step": 1400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.51,
|
993 |
+
"grad_norm": 5.375,
|
994 |
+
"learning_rate": 1.3563157894736842e-05,
|
995 |
+
"loss": 0.7972,
|
996 |
+
"step": 1410
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.51,
|
1000 |
+
"grad_norm": 2.3125,
|
1001 |
+
"learning_rate": 1.3547368421052634e-05,
|
1002 |
+
"loss": 0.8166,
|
1003 |
+
"step": 1420
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.51,
|
1007 |
+
"grad_norm": 4.0625,
|
1008 |
+
"learning_rate": 1.3531578947368422e-05,
|
1009 |
+
"loss": 0.8718,
|
1010 |
+
"step": 1430
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.52,
|
1014 |
+
"grad_norm": 3.75,
|
1015 |
+
"learning_rate": 1.3515789473684211e-05,
|
1016 |
+
"loss": 0.8607,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.52,
|
1021 |
+
"grad_norm": 4.0625,
|
1022 |
+
"learning_rate": 1.3500000000000001e-05,
|
1023 |
+
"loss": 0.8328,
|
1024 |
+
"step": 1450
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.52,
|
1028 |
+
"grad_norm": 3.96875,
|
1029 |
+
"learning_rate": 1.348421052631579e-05,
|
1030 |
+
"loss": 0.925,
|
1031 |
+
"step": 1460
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.53,
|
1035 |
+
"grad_norm": 4.71875,
|
1036 |
+
"learning_rate": 1.346842105263158e-05,
|
1037 |
+
"loss": 0.9331,
|
1038 |
+
"step": 1470
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.53,
|
1042 |
+
"grad_norm": 3.421875,
|
1043 |
+
"learning_rate": 1.3452631578947369e-05,
|
1044 |
+
"loss": 0.8584,
|
1045 |
+
"step": 1480
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.53,
|
1049 |
+
"grad_norm": 3.578125,
|
1050 |
+
"learning_rate": 1.343684210526316e-05,
|
1051 |
+
"loss": 0.8312,
|
1052 |
+
"step": 1490
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.54,
|
1056 |
+
"grad_norm": 3.0,
|
1057 |
+
"learning_rate": 1.3421052631578948e-05,
|
1058 |
+
"loss": 0.8311,
|
1059 |
+
"step": 1500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.54,
|
1063 |
+
"grad_norm": 3.859375,
|
1064 |
+
"learning_rate": 1.3405263157894736e-05,
|
1065 |
+
"loss": 0.8207,
|
1066 |
+
"step": 1510
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.55,
|
1070 |
+
"grad_norm": 3.640625,
|
1071 |
+
"learning_rate": 1.3389473684210527e-05,
|
1072 |
+
"loss": 0.9551,
|
1073 |
+
"step": 1520
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.55,
|
1077 |
+
"grad_norm": 4.6875,
|
1078 |
+
"learning_rate": 1.3373684210526315e-05,
|
1079 |
+
"loss": 0.8096,
|
1080 |
+
"step": 1530
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.55,
|
1084 |
+
"grad_norm": 3.90625,
|
1085 |
+
"learning_rate": 1.3357894736842106e-05,
|
1086 |
+
"loss": 0.8908,
|
1087 |
+
"step": 1540
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.56,
|
1091 |
+
"grad_norm": 3.796875,
|
1092 |
+
"learning_rate": 1.3342105263157894e-05,
|
1093 |
+
"loss": 0.7875,
|
1094 |
+
"step": 1550
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.56,
|
1098 |
+
"grad_norm": 3.234375,
|
1099 |
+
"learning_rate": 1.3326315789473685e-05,
|
1100 |
+
"loss": 0.7913,
|
1101 |
+
"step": 1560
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.56,
|
1105 |
+
"grad_norm": 3.890625,
|
1106 |
+
"learning_rate": 1.3310526315789473e-05,
|
1107 |
+
"loss": 0.7862,
|
1108 |
+
"step": 1570
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.57,
|
1112 |
+
"grad_norm": 5.1875,
|
1113 |
+
"learning_rate": 1.3294736842105262e-05,
|
1114 |
+
"loss": 0.9223,
|
1115 |
+
"step": 1580
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.57,
|
1119 |
+
"grad_norm": 3.453125,
|
1120 |
+
"learning_rate": 1.3278947368421054e-05,
|
1121 |
+
"loss": 0.8516,
|
1122 |
+
"step": 1590
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.57,
|
1126 |
+
"grad_norm": 2.78125,
|
1127 |
+
"learning_rate": 1.3263157894736843e-05,
|
1128 |
+
"loss": 0.8969,
|
1129 |
+
"step": 1600
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.58,
|
1133 |
+
"grad_norm": 2.984375,
|
1134 |
+
"learning_rate": 1.3247368421052633e-05,
|
1135 |
+
"loss": 0.8309,
|
1136 |
+
"step": 1610
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.58,
|
1140 |
+
"grad_norm": 3.734375,
|
1141 |
+
"learning_rate": 1.3231578947368422e-05,
|
1142 |
+
"loss": 0.7816,
|
1143 |
+
"step": 1620
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.58,
|
1147 |
+
"grad_norm": 5.0625,
|
1148 |
+
"learning_rate": 1.3215789473684212e-05,
|
1149 |
+
"loss": 0.8899,
|
1150 |
+
"step": 1630
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.59,
|
1154 |
+
"grad_norm": 4.21875,
|
1155 |
+
"learning_rate": 1.32e-05,
|
1156 |
+
"loss": 0.9195,
|
1157 |
+
"step": 1640
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.59,
|
1161 |
+
"grad_norm": 3.71875,
|
1162 |
+
"learning_rate": 1.318421052631579e-05,
|
1163 |
+
"loss": 0.8773,
|
1164 |
+
"step": 1650
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6,
|
1168 |
+
"grad_norm": 3.75,
|
1169 |
+
"learning_rate": 1.316842105263158e-05,
|
1170 |
+
"loss": 0.8922,
|
1171 |
+
"step": 1660
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.6,
|
1175 |
+
"grad_norm": 4.0,
|
1176 |
+
"learning_rate": 1.3152631578947368e-05,
|
1177 |
+
"loss": 0.8647,
|
1178 |
+
"step": 1670
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.6,
|
1182 |
+
"grad_norm": 3.296875,
|
1183 |
+
"learning_rate": 1.3136842105263159e-05,
|
1184 |
+
"loss": 0.8625,
|
1185 |
+
"step": 1680
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.61,
|
1189 |
+
"grad_norm": 4.21875,
|
1190 |
+
"learning_rate": 1.3121052631578947e-05,
|
1191 |
+
"loss": 0.89,
|
1192 |
+
"step": 1690
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.61,
|
1196 |
+
"grad_norm": 3.546875,
|
1197 |
+
"learning_rate": 1.3105263157894738e-05,
|
1198 |
+
"loss": 0.8426,
|
1199 |
+
"step": 1700
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.61,
|
1203 |
+
"grad_norm": 3.734375,
|
1204 |
+
"learning_rate": 1.3089473684210526e-05,
|
1205 |
+
"loss": 0.8909,
|
1206 |
+
"step": 1710
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.62,
|
1210 |
+
"grad_norm": 4.25,
|
1211 |
+
"learning_rate": 1.3073684210526315e-05,
|
1212 |
+
"loss": 0.8788,
|
1213 |
+
"step": 1720
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.62,
|
1217 |
+
"grad_norm": 3.875,
|
1218 |
+
"learning_rate": 1.3057894736842105e-05,
|
1219 |
+
"loss": 0.8895,
|
1220 |
+
"step": 1730
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.62,
|
1224 |
+
"grad_norm": 4.0,
|
1225 |
+
"learning_rate": 1.3042105263157894e-05,
|
1226 |
+
"loss": 0.883,
|
1227 |
+
"step": 1740
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.63,
|
1231 |
+
"grad_norm": 4.78125,
|
1232 |
+
"learning_rate": 1.3026315789473684e-05,
|
1233 |
+
"loss": 0.8837,
|
1234 |
+
"step": 1750
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.63,
|
1238 |
+
"grad_norm": 4.34375,
|
1239 |
+
"learning_rate": 1.3010526315789475e-05,
|
1240 |
+
"loss": 0.8173,
|
1241 |
+
"step": 1760
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.63,
|
1245 |
+
"grad_norm": 3.96875,
|
1246 |
+
"learning_rate": 1.2994736842105265e-05,
|
1247 |
+
"loss": 0.8328,
|
1248 |
+
"step": 1770
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.64,
|
1252 |
+
"grad_norm": 2.84375,
|
1253 |
+
"learning_rate": 1.2978947368421054e-05,
|
1254 |
+
"loss": 0.8218,
|
1255 |
+
"step": 1780
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.64,
|
1259 |
+
"grad_norm": 4.625,
|
1260 |
+
"learning_rate": 1.2963157894736842e-05,
|
1261 |
+
"loss": 0.89,
|
1262 |
+
"step": 1790
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.65,
|
1266 |
+
"grad_norm": 3.640625,
|
1267 |
+
"learning_rate": 1.2947368421052633e-05,
|
1268 |
+
"loss": 0.9269,
|
1269 |
+
"step": 1800
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.65,
|
1273 |
+
"grad_norm": 4.1875,
|
1274 |
+
"learning_rate": 1.2931578947368421e-05,
|
1275 |
+
"loss": 0.7664,
|
1276 |
+
"step": 1810
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.65,
|
1280 |
+
"grad_norm": 5.34375,
|
1281 |
+
"learning_rate": 1.2915789473684212e-05,
|
1282 |
+
"loss": 0.9444,
|
1283 |
+
"step": 1820
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.66,
|
1287 |
+
"grad_norm": 3.375,
|
1288 |
+
"learning_rate": 1.29e-05,
|
1289 |
+
"loss": 0.8094,
|
1290 |
+
"step": 1830
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.66,
|
1294 |
+
"grad_norm": 3.90625,
|
1295 |
+
"learning_rate": 1.288421052631579e-05,
|
1296 |
+
"loss": 0.7694,
|
1297 |
+
"step": 1840
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.66,
|
1301 |
+
"grad_norm": 4.59375,
|
1302 |
+
"learning_rate": 1.2868421052631579e-05,
|
1303 |
+
"loss": 0.8341,
|
1304 |
+
"step": 1850
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.67,
|
1308 |
+
"grad_norm": 3.90625,
|
1309 |
+
"learning_rate": 1.2852631578947368e-05,
|
1310 |
+
"loss": 0.811,
|
1311 |
+
"step": 1860
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.67,
|
1315 |
+
"grad_norm": 2.8125,
|
1316 |
+
"learning_rate": 1.2836842105263158e-05,
|
1317 |
+
"loss": 0.8261,
|
1318 |
+
"step": 1870
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.67,
|
1322 |
+
"grad_norm": 3.65625,
|
1323 |
+
"learning_rate": 1.2821052631578947e-05,
|
1324 |
+
"loss": 0.8654,
|
1325 |
+
"step": 1880
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.68,
|
1329 |
+
"grad_norm": 4.1875,
|
1330 |
+
"learning_rate": 1.2805263157894737e-05,
|
1331 |
+
"loss": 0.9158,
|
1332 |
+
"step": 1890
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.68,
|
1336 |
+
"grad_norm": 4.125,
|
1337 |
+
"learning_rate": 1.2789473684210526e-05,
|
1338 |
+
"loss": 0.7241,
|
1339 |
+
"step": 1900
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.68,
|
1343 |
+
"grad_norm": 4.59375,
|
1344 |
+
"learning_rate": 1.2773684210526316e-05,
|
1345 |
+
"loss": 0.84,
|
1346 |
+
"step": 1910
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.69,
|
1350 |
+
"grad_norm": 2.765625,
|
1351 |
+
"learning_rate": 1.2757894736842106e-05,
|
1352 |
+
"loss": 0.9277,
|
1353 |
+
"step": 1920
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.69,
|
1357 |
+
"grad_norm": 3.390625,
|
1358 |
+
"learning_rate": 1.2742105263157895e-05,
|
1359 |
+
"loss": 0.8024,
|
1360 |
+
"step": 1930
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.7,
|
1364 |
+
"grad_norm": 6.34375,
|
1365 |
+
"learning_rate": 1.2726315789473685e-05,
|
1366 |
+
"loss": 0.7964,
|
1367 |
+
"step": 1940
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.7,
|
1371 |
+
"grad_norm": 2.875,
|
1372 |
+
"learning_rate": 1.2710526315789474e-05,
|
1373 |
+
"loss": 0.8335,
|
1374 |
+
"step": 1950
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.7,
|
1378 |
+
"grad_norm": 3.0,
|
1379 |
+
"learning_rate": 1.2694736842105264e-05,
|
1380 |
+
"loss": 0.8329,
|
1381 |
+
"step": 1960
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.71,
|
1385 |
+
"grad_norm": 3.4375,
|
1386 |
+
"learning_rate": 1.2678947368421053e-05,
|
1387 |
+
"loss": 0.8553,
|
1388 |
+
"step": 1970
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.71,
|
1392 |
+
"grad_norm": 4.25,
|
1393 |
+
"learning_rate": 1.2663157894736843e-05,
|
1394 |
+
"loss": 0.8801,
|
1395 |
+
"step": 1980
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.71,
|
1399 |
+
"grad_norm": 4.03125,
|
1400 |
+
"learning_rate": 1.2647368421052632e-05,
|
1401 |
+
"loss": 0.813,
|
1402 |
+
"step": 1990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.72,
|
1406 |
+
"grad_norm": 4.8125,
|
1407 |
+
"learning_rate": 1.263157894736842e-05,
|
1408 |
+
"loss": 0.7953,
|
1409 |
+
"step": 2000
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.72,
|
1413 |
+
"eval_loss": 0.965668797492981,
|
1414 |
+
"eval_runtime": 63.3755,
|
1415 |
+
"eval_samples_per_second": 15.779,
|
1416 |
+
"eval_steps_per_second": 15.779,
|
1417 |
+
"step": 2000
|
1418 |
+
}
|
1419 |
+
],
|
1420 |
+
"logging_steps": 10,
|
1421 |
+
"max_steps": 10000,
|
1422 |
+
"num_input_tokens_seen": 0,
|
1423 |
+
"num_train_epochs": 4,
|
1424 |
+
"save_steps": 2000,
|
1425 |
+
"total_flos": 3.227844083712e+16,
|
1426 |
+
"train_batch_size": 1,
|
1427 |
+
"trial_name": null,
|
1428 |
+
"trial_params": null
|
1429 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d602b2c99d2658ac27305bba445001533af6893069ff3fd80cf173fc5e71cf17
|
3 |
+
size 4920
|