Add model checkpoint folders
Browse files- clip/ViT-L-14.pt +3 -0
- llava-vicuna-v1-5-7b-stage1/config.json +31 -0
- llava-vicuna-v1-5-7b-stage1/mm_projector.bin +3 -0
- llava-vicuna-v1-5-7b-stage1/trainer_state.json +0 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/README.md +9 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_config.json +26 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_model.bin +3 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/config.json +28 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/non_lora_trainables.bin +3 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/trainer_state.json +961 -0
clip/ViT-L-14.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8cca3fd41ae0c99ba7e8951adf17d267cdb84cd88be6f7c2e0eca1737a03836
|
3 |
+
size 932768134
|
llava-vicuna-v1-5-7b-stage1/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "./data/vicuna-7b-v1.5",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"bos_token_id": 1,
|
7 |
+
"eos_token_id": 2,
|
8 |
+
"freeze_mm_mlp_adapter": false,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 11008,
|
13 |
+
"max_position_embeddings": 4096,
|
14 |
+
"mm_use_im_patch_token": false,
|
15 |
+
"mm_use_im_start_end": false,
|
16 |
+
"model_type": "V2XumLLM",
|
17 |
+
"num_attention_heads": 32,
|
18 |
+
"num_hidden_layers": 32,
|
19 |
+
"num_key_value_heads": 32,
|
20 |
+
"pad_token_id": 0,
|
21 |
+
"pretraining_tp": 1,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "float16",
|
26 |
+
"transformers_version": "4.31.0",
|
27 |
+
"tune_mm_mlp_adapter": true,
|
28 |
+
"use_cache": true,
|
29 |
+
"use_mm_proj": true,
|
30 |
+
"vocab_size": 32000
|
31 |
+
}
|
llava-vicuna-v1-5-7b-stage1/mm_projector.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:043423537642223cc822233553f5227b03df5b111fd5f8bf19b68c3f8a54873b
|
3 |
+
size 6300731
|
llava-vicuna-v1-5-7b-stage1/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 128,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"up_proj",
|
18 |
+
"k_proj",
|
19 |
+
"v_proj",
|
20 |
+
"gate_proj",
|
21 |
+
"o_proj",
|
22 |
+
"down_proj",
|
23 |
+
"q_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:34657f67c9e078949cd381d90b19750c974ac41afe95130dc1152565f5ea4557
|
3 |
+
size 319971402
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmsys/vicuna-7b-v1.5",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"bos_token_id": 1,
|
7 |
+
"eos_token_id": 2,
|
8 |
+
"freeze_mm_mlp_adapter": true,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 11008,
|
13 |
+
"max_position_embeddings": 4096,
|
14 |
+
"model_type": "V2XumLLM",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 32,
|
18 |
+
"pad_token_id": 0,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"tie_word_embeddings": false,
|
23 |
+
"torch_dtype": "float16",
|
24 |
+
"transformers_version": "4.31.0",
|
25 |
+
"tune_mm_mlp_adapter": false,
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 32000
|
28 |
+
}
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
3 |
+
size 912
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/trainer_state.json
ADDED
@@ -0,0 +1,961 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9952038369304557,
|
5 |
+
"global_step": 156,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 2e-05,
|
13 |
+
"loss": 3.5587,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.03,
|
18 |
+
"learning_rate": 4e-05,
|
19 |
+
"loss": 3.4889,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.04,
|
24 |
+
"learning_rate": 6e-05,
|
25 |
+
"loss": 3.4863,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.05,
|
30 |
+
"learning_rate": 8e-05,
|
31 |
+
"loss": 2.8639,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.06,
|
36 |
+
"learning_rate": 0.0001,
|
37 |
+
"loss": 2.2722,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.08,
|
42 |
+
"learning_rate": 9.998917893031616e-05,
|
43 |
+
"loss": 1.6969,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.09,
|
48 |
+
"learning_rate": 9.995672040508655e-05,
|
49 |
+
"loss": 1.2651,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.1,
|
54 |
+
"learning_rate": 9.990263847374976e-05,
|
55 |
+
"loss": 1.1056,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.12,
|
60 |
+
"learning_rate": 9.982695654527965e-05,
|
61 |
+
"loss": 0.9884,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.13,
|
66 |
+
"learning_rate": 9.972970737805311e-05,
|
67 |
+
"loss": 0.9128,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.14,
|
72 |
+
"learning_rate": 9.961093306567075e-05,
|
73 |
+
"loss": 0.8706,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.15,
|
78 |
+
"learning_rate": 9.947068501873701e-05,
|
79 |
+
"loss": 0.8783,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.17,
|
84 |
+
"learning_rate": 9.930902394260747e-05,
|
85 |
+
"loss": 0.7829,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.18,
|
90 |
+
"learning_rate": 9.912601981111286e-05,
|
91 |
+
"loss": 0.7684,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.19,
|
96 |
+
"learning_rate": 9.892175183627161e-05,
|
97 |
+
"loss": 0.758,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.2,
|
102 |
+
"learning_rate": 9.86963084340033e-05,
|
103 |
+
"loss": 0.7694,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.22,
|
108 |
+
"learning_rate": 9.844978718585855e-05,
|
109 |
+
"loss": 0.7196,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.23,
|
114 |
+
"learning_rate": 9.818229479678158e-05,
|
115 |
+
"loss": 0.7079,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.24,
|
120 |
+
"learning_rate": 9.789394704892364e-05,
|
121 |
+
"loss": 0.6731,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.26,
|
126 |
+
"learning_rate": 9.758486875152766e-05,
|
127 |
+
"loss": 0.6634,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.27,
|
132 |
+
"learning_rate": 9.725519368690538e-05,
|
133 |
+
"loss": 0.6646,
|
134 |
+
"step": 21
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.28,
|
138 |
+
"learning_rate": 9.690506455253073e-05,
|
139 |
+
"loss": 0.6451,
|
140 |
+
"step": 22
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.29,
|
144 |
+
"learning_rate": 9.653463289927411e-05,
|
145 |
+
"loss": 0.6435,
|
146 |
+
"step": 23
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.31,
|
150 |
+
"learning_rate": 9.614405906580485e-05,
|
151 |
+
"loss": 0.6535,
|
152 |
+
"step": 24
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.32,
|
156 |
+
"learning_rate": 9.573351210918974e-05,
|
157 |
+
"loss": 0.651,
|
158 |
+
"step": 25
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.33,
|
162 |
+
"learning_rate": 9.53031697317178e-05,
|
163 |
+
"loss": 0.633,
|
164 |
+
"step": 26
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.35,
|
168 |
+
"learning_rate": 9.485321820398321e-05,
|
169 |
+
"loss": 0.6183,
|
170 |
+
"step": 27
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.36,
|
174 |
+
"learning_rate": 9.438385228425938e-05,
|
175 |
+
"loss": 0.638,
|
176 |
+
"step": 28
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.37,
|
180 |
+
"learning_rate": 9.389527513419934e-05,
|
181 |
+
"loss": 0.641,
|
182 |
+
"step": 29
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.38,
|
186 |
+
"learning_rate": 9.338769823089853e-05,
|
187 |
+
"loss": 0.627,
|
188 |
+
"step": 30
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.4,
|
192 |
+
"learning_rate": 9.286134127535859e-05,
|
193 |
+
"loss": 0.5917,
|
194 |
+
"step": 31
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.41,
|
198 |
+
"learning_rate": 9.231643209739128e-05,
|
199 |
+
"loss": 0.6462,
|
200 |
+
"step": 32
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.42,
|
204 |
+
"learning_rate": 9.175320655700406e-05,
|
205 |
+
"loss": 0.6199,
|
206 |
+
"step": 33
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.43,
|
210 |
+
"learning_rate": 9.117190844230971e-05,
|
211 |
+
"loss": 0.614,
|
212 |
+
"step": 34
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.45,
|
216 |
+
"learning_rate": 9.057278936400453e-05,
|
217 |
+
"loss": 0.5996,
|
218 |
+
"step": 35
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.46,
|
222 |
+
"learning_rate": 8.99561086464603e-05,
|
223 |
+
"loss": 0.5827,
|
224 |
+
"step": 36
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.47,
|
228 |
+
"learning_rate": 8.93221332154777e-05,
|
229 |
+
"loss": 0.6186,
|
230 |
+
"step": 37
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.49,
|
234 |
+
"learning_rate": 8.86711374827494e-05,
|
235 |
+
"loss": 0.5951,
|
236 |
+
"step": 38
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.5,
|
240 |
+
"learning_rate": 8.800340322708291e-05,
|
241 |
+
"loss": 0.6095,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.51,
|
246 |
+
"learning_rate": 8.731921947243469e-05,
|
247 |
+
"loss": 0.6066,
|
248 |
+
"step": 40
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.52,
|
252 |
+
"learning_rate": 8.661888236280813e-05,
|
253 |
+
"loss": 0.627,
|
254 |
+
"step": 41
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.54,
|
258 |
+
"learning_rate": 8.590269503406985e-05,
|
259 |
+
"loss": 0.5973,
|
260 |
+
"step": 42
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.55,
|
264 |
+
"learning_rate": 8.517096748273951e-05,
|
265 |
+
"loss": 0.5421,
|
266 |
+
"step": 43
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.56,
|
270 |
+
"learning_rate": 8.442401643181e-05,
|
271 |
+
"loss": 0.5914,
|
272 |
+
"step": 44
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.58,
|
276 |
+
"learning_rate": 8.366216519365621e-05,
|
277 |
+
"loss": 0.5926,
|
278 |
+
"step": 45
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.59,
|
282 |
+
"learning_rate": 8.288574353009164e-05,
|
283 |
+
"loss": 0.6159,
|
284 |
+
"step": 46
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.6,
|
288 |
+
"learning_rate": 8.209508750963328e-05,
|
289 |
+
"loss": 0.5809,
|
290 |
+
"step": 47
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.61,
|
294 |
+
"learning_rate": 8.129053936203687e-05,
|
295 |
+
"loss": 0.5659,
|
296 |
+
"step": 48
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.63,
|
300 |
+
"learning_rate": 8.047244733016522e-05,
|
301 |
+
"loss": 0.6108,
|
302 |
+
"step": 49
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.64,
|
306 |
+
"learning_rate": 7.964116551925365e-05,
|
307 |
+
"loss": 0.5699,
|
308 |
+
"step": 50
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.65,
|
312 |
+
"learning_rate": 7.879705374363831e-05,
|
313 |
+
"loss": 0.5865,
|
314 |
+
"step": 51
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.67,
|
318 |
+
"learning_rate": 7.794047737101297e-05,
|
319 |
+
"loss": 0.5801,
|
320 |
+
"step": 52
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.68,
|
324 |
+
"learning_rate": 7.707180716428237e-05,
|
325 |
+
"loss": 0.5611,
|
326 |
+
"step": 53
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.69,
|
330 |
+
"learning_rate": 7.619141912108008e-05,
|
331 |
+
"loss": 0.5814,
|
332 |
+
"step": 54
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.7,
|
336 |
+
"learning_rate": 7.529969431102064e-05,
|
337 |
+
"loss": 0.5713,
|
338 |
+
"step": 55
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.72,
|
342 |
+
"learning_rate": 7.439701871075641e-05,
|
343 |
+
"loss": 0.5774,
|
344 |
+
"step": 56
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.73,
|
348 |
+
"learning_rate": 7.34837830369103e-05,
|
349 |
+
"loss": 0.5646,
|
350 |
+
"step": 57
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.74,
|
354 |
+
"learning_rate": 7.256038257695687e-05,
|
355 |
+
"loss": 0.5508,
|
356 |
+
"step": 58
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.75,
|
360 |
+
"learning_rate": 7.162721701812505e-05,
|
361 |
+
"loss": 0.585,
|
362 |
+
"step": 59
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.77,
|
366 |
+
"learning_rate": 7.068469027439642e-05,
|
367 |
+
"loss": 0.5572,
|
368 |
+
"step": 60
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.78,
|
372 |
+
"learning_rate": 6.973321031167383e-05,
|
373 |
+
"loss": 0.5994,
|
374 |
+
"step": 61
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.79,
|
378 |
+
"learning_rate": 6.87731889711965e-05,
|
379 |
+
"loss": 0.5753,
|
380 |
+
"step": 62
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.81,
|
384 |
+
"learning_rate": 6.780504179127734e-05,
|
385 |
+
"loss": 0.5625,
|
386 |
+
"step": 63
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.82,
|
390 |
+
"learning_rate": 6.682918782744032e-05,
|
391 |
+
"loss": 0.5641,
|
392 |
+
"step": 64
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.83,
|
396 |
+
"learning_rate": 6.584604947103514e-05,
|
397 |
+
"loss": 0.5671,
|
398 |
+
"step": 65
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.84,
|
402 |
+
"learning_rate": 6.485605226640837e-05,
|
403 |
+
"loss": 0.5536,
|
404 |
+
"step": 66
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.86,
|
408 |
+
"learning_rate": 6.385962472670953e-05,
|
409 |
+
"loss": 0.5833,
|
410 |
+
"step": 67
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.87,
|
414 |
+
"learning_rate": 6.28571981484123e-05,
|
415 |
+
"loss": 0.5651,
|
416 |
+
"step": 68
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.88,
|
420 |
+
"learning_rate": 6.184920642463094e-05,
|
421 |
+
"loss": 0.5636,
|
422 |
+
"step": 69
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.9,
|
426 |
+
"learning_rate": 6.083608585731283e-05,
|
427 |
+
"loss": 0.5473,
|
428 |
+
"step": 70
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.91,
|
432 |
+
"learning_rate": 5.981827496838822e-05,
|
433 |
+
"loss": 0.5709,
|
434 |
+
"step": 71
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.92,
|
438 |
+
"learning_rate": 5.8796214309959276e-05,
|
439 |
+
"loss": 0.5693,
|
440 |
+
"step": 72
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.93,
|
444 |
+
"learning_rate": 5.7770346273610254e-05,
|
445 |
+
"loss": 0.5523,
|
446 |
+
"step": 73
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.95,
|
450 |
+
"learning_rate": 5.674111489892144e-05,
|
451 |
+
"loss": 0.5578,
|
452 |
+
"step": 74
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.96,
|
456 |
+
"learning_rate": 5.570896568126993e-05,
|
457 |
+
"loss": 0.5794,
|
458 |
+
"step": 75
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.97,
|
462 |
+
"learning_rate": 5.4674345379e-05,
|
463 |
+
"loss": 0.5534,
|
464 |
+
"step": 76
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.98,
|
468 |
+
"learning_rate": 5.36377018200472e-05,
|
469 |
+
"loss": 0.5675,
|
470 |
+
"step": 77
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 1.0,
|
474 |
+
"learning_rate": 5.2599483708099016e-05,
|
475 |
+
"loss": 0.5592,
|
476 |
+
"step": 78
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 1.01,
|
480 |
+
"learning_rate": 5.1560140428376956e-05,
|
481 |
+
"loss": 0.5718,
|
482 |
+
"step": 79
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 1.02,
|
486 |
+
"learning_rate": 5.052012185312322e-05,
|
487 |
+
"loss": 0.5722,
|
488 |
+
"step": 80
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 1.04,
|
492 |
+
"learning_rate": 4.9479878146876794e-05,
|
493 |
+
"loss": 0.5326,
|
494 |
+
"step": 81
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.05,
|
498 |
+
"learning_rate": 4.8439859571623035e-05,
|
499 |
+
"loss": 0.569,
|
500 |
+
"step": 82
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.06,
|
504 |
+
"learning_rate": 4.740051629190099e-05,
|
505 |
+
"loss": 0.5615,
|
506 |
+
"step": 83
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.07,
|
510 |
+
"learning_rate": 4.636229817995281e-05,
|
511 |
+
"loss": 0.5438,
|
512 |
+
"step": 84
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.09,
|
516 |
+
"learning_rate": 4.532565462099999e-05,
|
517 |
+
"loss": 0.5264,
|
518 |
+
"step": 85
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 1.1,
|
522 |
+
"learning_rate": 4.429103431873009e-05,
|
523 |
+
"loss": 0.5417,
|
524 |
+
"step": 86
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 1.11,
|
528 |
+
"learning_rate": 4.325888510107856e-05,
|
529 |
+
"loss": 0.5569,
|
530 |
+
"step": 87
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 1.13,
|
534 |
+
"learning_rate": 4.2229653726389765e-05,
|
535 |
+
"loss": 0.5866,
|
536 |
+
"step": 88
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.14,
|
540 |
+
"learning_rate": 4.120378569004074e-05,
|
541 |
+
"loss": 0.5587,
|
542 |
+
"step": 89
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.15,
|
546 |
+
"learning_rate": 4.0181725031611795e-05,
|
547 |
+
"loss": 0.5381,
|
548 |
+
"step": 90
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.16,
|
552 |
+
"learning_rate": 3.9163914142687184e-05,
|
553 |
+
"loss": 0.539,
|
554 |
+
"step": 91
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.18,
|
558 |
+
"learning_rate": 3.8150793575369066e-05,
|
559 |
+
"loss": 0.5523,
|
560 |
+
"step": 92
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.19,
|
564 |
+
"learning_rate": 3.714280185158771e-05,
|
565 |
+
"loss": 0.5478,
|
566 |
+
"step": 93
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 1.2,
|
570 |
+
"learning_rate": 3.614037527329048e-05,
|
571 |
+
"loss": 0.5777,
|
572 |
+
"step": 94
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 1.22,
|
576 |
+
"learning_rate": 3.514394773359163e-05,
|
577 |
+
"loss": 0.5388,
|
578 |
+
"step": 95
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 1.23,
|
582 |
+
"learning_rate": 3.415395052896487e-05,
|
583 |
+
"loss": 0.5245,
|
584 |
+
"step": 96
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.24,
|
588 |
+
"learning_rate": 3.31708121725597e-05,
|
589 |
+
"loss": 0.5435,
|
590 |
+
"step": 97
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.25,
|
594 |
+
"learning_rate": 3.219495820872265e-05,
|
595 |
+
"loss": 0.5552,
|
596 |
+
"step": 98
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 1.27,
|
600 |
+
"learning_rate": 3.122681102880352e-05,
|
601 |
+
"loss": 0.5295,
|
602 |
+
"step": 99
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.28,
|
606 |
+
"learning_rate": 3.0266789688326186e-05,
|
607 |
+
"loss": 0.5414,
|
608 |
+
"step": 100
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 1.29,
|
612 |
+
"learning_rate": 2.9315309725603596e-05,
|
613 |
+
"loss": 0.5412,
|
614 |
+
"step": 101
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 1.3,
|
618 |
+
"learning_rate": 2.8372782981874963e-05,
|
619 |
+
"loss": 0.5543,
|
620 |
+
"step": 102
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.32,
|
624 |
+
"learning_rate": 2.7439617423043145e-05,
|
625 |
+
"loss": 0.5564,
|
626 |
+
"step": 103
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.33,
|
630 |
+
"learning_rate": 2.6516216963089698e-05,
|
631 |
+
"loss": 0.5432,
|
632 |
+
"step": 104
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.34,
|
636 |
+
"learning_rate": 2.5602981289243578e-05,
|
637 |
+
"loss": 0.516,
|
638 |
+
"step": 105
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 1.36,
|
642 |
+
"learning_rate": 2.470030568897938e-05,
|
643 |
+
"loss": 0.5461,
|
644 |
+
"step": 106
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.37,
|
648 |
+
"learning_rate": 2.3808580878919946e-05,
|
649 |
+
"loss": 0.5818,
|
650 |
+
"step": 107
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 1.38,
|
654 |
+
"learning_rate": 2.2928192835717644e-05,
|
655 |
+
"loss": 0.5374,
|
656 |
+
"step": 108
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 1.39,
|
660 |
+
"learning_rate": 2.205952262898704e-05,
|
661 |
+
"loss": 0.5549,
|
662 |
+
"step": 109
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 1.41,
|
666 |
+
"learning_rate": 2.120294625636171e-05,
|
667 |
+
"loss": 0.5395,
|
668 |
+
"step": 110
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.42,
|
672 |
+
"learning_rate": 2.0358834480746365e-05,
|
673 |
+
"loss": 0.5529,
|
674 |
+
"step": 111
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.43,
|
678 |
+
"learning_rate": 1.9527552669834798e-05,
|
679 |
+
"loss": 0.5338,
|
680 |
+
"step": 112
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.45,
|
684 |
+
"learning_rate": 1.8709460637963123e-05,
|
685 |
+
"loss": 0.5588,
|
686 |
+
"step": 113
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 1.46,
|
690 |
+
"learning_rate": 1.790491249036672e-05,
|
691 |
+
"loss": 0.5565,
|
692 |
+
"step": 114
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 1.47,
|
696 |
+
"learning_rate": 1.711425646990838e-05,
|
697 |
+
"loss": 0.5306,
|
698 |
+
"step": 115
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 1.48,
|
702 |
+
"learning_rate": 1.6337834806343783e-05,
|
703 |
+
"loss": 0.5434,
|
704 |
+
"step": 116
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.5,
|
708 |
+
"learning_rate": 1.557598356819e-05,
|
709 |
+
"loss": 0.5559,
|
710 |
+
"step": 117
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.51,
|
714 |
+
"learning_rate": 1.4829032517260489e-05,
|
715 |
+
"loss": 0.5478,
|
716 |
+
"step": 118
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.52,
|
720 |
+
"learning_rate": 1.4097304965930158e-05,
|
721 |
+
"loss": 0.5386,
|
722 |
+
"step": 119
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.53,
|
726 |
+
"learning_rate": 1.3381117637191886e-05,
|
727 |
+
"loss": 0.5672,
|
728 |
+
"step": 120
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 1.55,
|
732 |
+
"learning_rate": 1.268078052756531e-05,
|
733 |
+
"loss": 0.5401,
|
734 |
+
"step": 121
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 1.56,
|
738 |
+
"learning_rate": 1.199659677291709e-05,
|
739 |
+
"loss": 0.5222,
|
740 |
+
"step": 122
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 1.57,
|
744 |
+
"learning_rate": 1.132886251725061e-05,
|
745 |
+
"loss": 0.5357,
|
746 |
+
"step": 123
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.59,
|
750 |
+
"learning_rate": 1.0677866784522317e-05,
|
751 |
+
"loss": 0.5516,
|
752 |
+
"step": 124
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 1.6,
|
756 |
+
"learning_rate": 1.004389135353972e-05,
|
757 |
+
"loss": 0.5588,
|
758 |
+
"step": 125
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.61,
|
762 |
+
"learning_rate": 9.427210635995482e-06,
|
763 |
+
"loss": 0.5515,
|
764 |
+
"step": 126
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.62,
|
768 |
+
"learning_rate": 8.828091557690289e-06,
|
769 |
+
"loss": 0.5303,
|
770 |
+
"step": 127
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 1.64,
|
774 |
+
"learning_rate": 8.246793442995954e-06,
|
775 |
+
"loss": 0.5718,
|
776 |
+
"step": 128
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 1.65,
|
780 |
+
"learning_rate": 7.683567902608729e-06,
|
781 |
+
"loss": 0.5201,
|
782 |
+
"step": 129
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 1.66,
|
786 |
+
"learning_rate": 7.138658724641417e-06,
|
787 |
+
"loss": 0.5573,
|
788 |
+
"step": 130
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.68,
|
792 |
+
"learning_rate": 6.6123017691014645e-06,
|
793 |
+
"loss": 0.5346,
|
794 |
+
"step": 131
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.69,
|
798 |
+
"learning_rate": 6.104724865800665e-06,
|
799 |
+
"loss": 0.4899,
|
800 |
+
"step": 132
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.7,
|
804 |
+
"learning_rate": 5.616147715740611e-06,
|
805 |
+
"loss": 0.5185,
|
806 |
+
"step": 133
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.71,
|
810 |
+
"learning_rate": 5.1467817960167975e-06,
|
811 |
+
"loss": 0.5676,
|
812 |
+
"step": 134
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 1.73,
|
816 |
+
"learning_rate": 4.696830268282204e-06,
|
817 |
+
"loss": 0.5177,
|
818 |
+
"step": 135
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.74,
|
822 |
+
"learning_rate": 4.266487890810256e-06,
|
823 |
+
"loss": 0.5481,
|
824 |
+
"step": 136
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 1.75,
|
828 |
+
"learning_rate": 3.855940934195146e-06,
|
829 |
+
"loss": 0.5436,
|
830 |
+
"step": 137
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.76,
|
834 |
+
"learning_rate": 3.465367100725908e-06,
|
835 |
+
"loss": 0.541,
|
836 |
+
"step": 138
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 1.78,
|
840 |
+
"learning_rate": 3.0949354474692937e-06,
|
841 |
+
"loss": 0.535,
|
842 |
+
"step": 139
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.79,
|
846 |
+
"learning_rate": 2.7448063130946224e-06,
|
847 |
+
"loss": 0.5152,
|
848 |
+
"step": 140
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.8,
|
852 |
+
"learning_rate": 2.4151312484723465e-06,
|
853 |
+
"loss": 0.5486,
|
854 |
+
"step": 141
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.82,
|
858 |
+
"learning_rate": 2.106052951076365e-06,
|
859 |
+
"loss": 0.5484,
|
860 |
+
"step": 142
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 1.83,
|
864 |
+
"learning_rate": 1.8177052032184283e-06,
|
865 |
+
"loss": 0.5178,
|
866 |
+
"step": 143
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 1.84,
|
870 |
+
"learning_rate": 1.5502128141414495e-06,
|
871 |
+
"loss": 0.5408,
|
872 |
+
"step": 144
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.85,
|
876 |
+
"learning_rate": 1.303691565996712e-06,
|
877 |
+
"loss": 0.5358,
|
878 |
+
"step": 145
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.87,
|
882 |
+
"learning_rate": 1.0782481637284013e-06,
|
883 |
+
"loss": 0.5228,
|
884 |
+
"step": 146
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.88,
|
888 |
+
"learning_rate": 8.739801888871469e-07,
|
889 |
+
"loss": 0.5429,
|
890 |
+
"step": 147
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.89,
|
894 |
+
"learning_rate": 6.909760573925561e-07,
|
895 |
+
"loss": 0.5571,
|
896 |
+
"step": 148
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 1.91,
|
900 |
+
"learning_rate": 5.29314981262985e-07,
|
901 |
+
"loss": 0.5543,
|
902 |
+
"step": 149
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.92,
|
906 |
+
"learning_rate": 3.8906693432924634e-07,
|
907 |
+
"loss": 0.5471,
|
908 |
+
"step": 150
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 1.93,
|
912 |
+
"learning_rate": 2.702926219468882e-07,
|
913 |
+
"loss": 0.5601,
|
914 |
+
"step": 151
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.94,
|
918 |
+
"learning_rate": 1.7304345472035631e-07,
|
919 |
+
"loss": 0.5493,
|
920 |
+
"step": 152
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.96,
|
924 |
+
"learning_rate": 9.73615262502503e-08,
|
925 |
+
"loss": 0.5458,
|
926 |
+
"step": 153
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.97,
|
930 |
+
"learning_rate": 4.3279594913447905e-08,
|
931 |
+
"loss": 0.548,
|
932 |
+
"step": 154
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.98,
|
936 |
+
"learning_rate": 1.082106968385288e-08,
|
937 |
+
"loss": 0.5239,
|
938 |
+
"step": 155
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 2.0,
|
942 |
+
"learning_rate": 0.0,
|
943 |
+
"loss": 0.5618,
|
944 |
+
"step": 156
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 2.0,
|
948 |
+
"step": 156,
|
949 |
+
"total_flos": 18465039040512.0,
|
950 |
+
"train_loss": 0.6798098935530736,
|
951 |
+
"train_runtime": 12941.1596,
|
952 |
+
"train_samples_per_second": 1.546,
|
953 |
+
"train_steps_per_second": 0.012
|
954 |
+
}
|
955 |
+
],
|
956 |
+
"max_steps": 156,
|
957 |
+
"num_train_epochs": 2,
|
958 |
+
"total_flos": 18465039040512.0,
|
959 |
+
"trial_name": null,
|
960 |
+
"trial_params": null
|
961 |
+
}
|