prateeky2806
commited on
Commit
•
25d415a
1
Parent(s):
f4576d5
Training in progress, step 400
Browse files- adapter_model.bin +1 -1
- checkpoint-200/adapter_model/adapter_model/README.md +20 -0
- checkpoint-200/adapter_model/adapter_model/adapter_config.json +26 -0
- checkpoint-200/adapter_model/adapter_model/adapter_model.bin +3 -0
- checkpoint-400/README.md +20 -0
- checkpoint-400/adapter_config.json +26 -0
- checkpoint-400/adapter_model.bin +3 -0
- checkpoint-400/added_tokens.json +3 -0
- checkpoint-400/optimizer.pt +3 -0
- checkpoint-400/rng_state.pth +3 -0
- checkpoint-400/scheduler.pt +3 -0
- checkpoint-400/special_tokens_map.json +6 -0
- checkpoint-400/tokenizer.model +3 -0
- checkpoint-400/tokenizer_config.json +35 -0
- checkpoint-400/trainer_state.json +398 -0
- checkpoint-400/training_args.bin +3 -0
adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 319977229
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e46fccfc2b3bca2deec2f0ce8c8a622f863ee1444c4cdb9002c588fc8cb5574f
|
3 |
size 319977229
|
checkpoint-200/adapter_model/adapter_model/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: True
|
16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-200/adapter_model/adapter_model/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
|
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": 16.0,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"v_proj",
|
18 |
+
"o_proj",
|
19 |
+
"k_proj",
|
20 |
+
"down_proj",
|
21 |
+
"q_proj",
|
22 |
+
"up_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
checkpoint-200/adapter_model/adapter_model/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dbaccf9d57b49b148f25beb4fefd5a014a14a88d2d0f184bc7971e53c80a3bfa
|
3 |
+
size 319977229
|
checkpoint-400/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: True
|
16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-400/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
|
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": 16.0,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"v_proj",
|
18 |
+
"o_proj",
|
19 |
+
"k_proj",
|
20 |
+
"down_proj",
|
21 |
+
"q_proj",
|
22 |
+
"up_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
checkpoint-400/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e46fccfc2b3bca2deec2f0ce8c8a622f863ee1444c4cdb9002c588fc8cb5574f
|
3 |
+
size 319977229
|
checkpoint-400/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<pad>": 32000
|
3 |
+
}
|
checkpoint-400/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c37450b0a4d03aedb9572c247cbb3231a93cc1f35dc19fd8a9d9aa0c556c588a
|
3 |
+
size 1279539973
|
checkpoint-400/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9003963d891adc27fcd80dea3775b2f03a25bad1740507deb401af323ae41825
|
3 |
+
size 14511
|
checkpoint-400/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:13276f15dd2b6acc19b970176aa2db4ac9b58241843e72c89b50e3094e903b19
|
3 |
+
size 627
|
checkpoint-400/special_tokens_map.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"eos_token": "</s>",
|
4 |
+
"pad_token": "<unk>",
|
5 |
+
"unk_token": "<unk>"
|
6 |
+
}
|
checkpoint-400/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-400/tokenizer_config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"bos_token": {
|
5 |
+
"__type": "AddedToken",
|
6 |
+
"content": "<s>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"clean_up_tokenization_spaces": false,
|
13 |
+
"eos_token": {
|
14 |
+
"__type": "AddedToken",
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"legacy": false,
|
22 |
+
"model_max_length": 1000000000000000019884624838656,
|
23 |
+
"pad_token": null,
|
24 |
+
"padding_side": "right",
|
25 |
+
"sp_model_kwargs": {},
|
26 |
+
"tokenizer_class": "LlamaTokenizer",
|
27 |
+
"unk_token": {
|
28 |
+
"__type": "AddedToken",
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
}
|
35 |
+
}
|
checkpoint-400/trainer_state.json
ADDED
@@ -0,0 +1,398 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5141976475715637,
|
3 |
+
"best_model_checkpoint": "./output_v2/7b_cluster05_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_05/checkpoint-400",
|
4 |
+
"epoch": 1.1895910780669146,
|
5 |
+
"global_step": 400,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"learning_rate": 0.0002,
|
13 |
+
"loss": 0.6832,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.06,
|
18 |
+
"learning_rate": 0.0002,
|
19 |
+
"loss": 0.5389,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.09,
|
24 |
+
"learning_rate": 0.0002,
|
25 |
+
"loss": 0.5072,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.12,
|
30 |
+
"learning_rate": 0.0002,
|
31 |
+
"loss": 0.5211,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.15,
|
36 |
+
"learning_rate": 0.0002,
|
37 |
+
"loss": 0.5888,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.18,
|
42 |
+
"learning_rate": 0.0002,
|
43 |
+
"loss": 0.534,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.21,
|
48 |
+
"learning_rate": 0.0002,
|
49 |
+
"loss": 0.5684,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.24,
|
54 |
+
"learning_rate": 0.0002,
|
55 |
+
"loss": 0.514,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.27,
|
60 |
+
"learning_rate": 0.0002,
|
61 |
+
"loss": 0.5518,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.3,
|
66 |
+
"learning_rate": 0.0002,
|
67 |
+
"loss": 0.5034,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.33,
|
72 |
+
"learning_rate": 0.0002,
|
73 |
+
"loss": 0.542,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.36,
|
78 |
+
"learning_rate": 0.0002,
|
79 |
+
"loss": 0.4847,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.39,
|
84 |
+
"learning_rate": 0.0002,
|
85 |
+
"loss": 0.4772,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.42,
|
90 |
+
"learning_rate": 0.0002,
|
91 |
+
"loss": 0.5196,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.45,
|
96 |
+
"learning_rate": 0.0002,
|
97 |
+
"loss": 0.4672,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.48,
|
102 |
+
"learning_rate": 0.0002,
|
103 |
+
"loss": 0.4913,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.51,
|
108 |
+
"learning_rate": 0.0002,
|
109 |
+
"loss": 0.5498,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.54,
|
114 |
+
"learning_rate": 0.0002,
|
115 |
+
"loss": 0.5328,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.57,
|
120 |
+
"learning_rate": 0.0002,
|
121 |
+
"loss": 0.5313,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.59,
|
126 |
+
"learning_rate": 0.0002,
|
127 |
+
"loss": 0.515,
|
128 |
+
"step": 200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.59,
|
132 |
+
"eval_loss": 0.531296968460083,
|
133 |
+
"eval_runtime": 174.4771,
|
134 |
+
"eval_samples_per_second": 5.731,
|
135 |
+
"eval_steps_per_second": 2.866,
|
136 |
+
"step": 200
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.59,
|
140 |
+
"mmlu_eval_accuracy": 0.46292469330066577,
|
141 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
142 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
143 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
144 |
+
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
|
145 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
|
146 |
+
"mmlu_eval_accuracy_college_biology": 0.3125,
|
147 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
148 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
149 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
150 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
151 |
+
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
|
152 |
+
"mmlu_eval_accuracy_computer_security": 0.18181818181818182,
|
153 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
154 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
155 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.5,
|
156 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
|
157 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
158 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
159 |
+
"mmlu_eval_accuracy_high_school_biology": 0.34375,
|
160 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453,
|
161 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
162 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
163 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
164 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
165 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
166 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
167 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
168 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
169 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.65,
|
170 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
171 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
|
172 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.46153846153846156,
|
173 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
174 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
175 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
176 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
177 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5,
|
178 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
179 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
180 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
181 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
182 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
183 |
+
"mmlu_eval_accuracy_moral_disputes": 0.39473684210526316,
|
184 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
185 |
+
"mmlu_eval_accuracy_nutrition": 0.5454545454545454,
|
186 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
187 |
+
"mmlu_eval_accuracy_prehistory": 0.4,
|
188 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
189 |
+
"mmlu_eval_accuracy_professional_law": 0.3352941176470588,
|
190 |
+
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
|
191 |
+
"mmlu_eval_accuracy_professional_psychology": 0.42028985507246375,
|
192 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
193 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
194 |
+
"mmlu_eval_accuracy_sociology": 0.5909090909090909,
|
195 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
196 |
+
"mmlu_eval_accuracy_virology": 0.3888888888888889,
|
197 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
198 |
+
"mmlu_loss": 1.3857738420406147,
|
199 |
+
"step": 200
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.62,
|
203 |
+
"learning_rate": 0.0002,
|
204 |
+
"loss": 0.4582,
|
205 |
+
"step": 210
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.65,
|
209 |
+
"learning_rate": 0.0002,
|
210 |
+
"loss": 0.4796,
|
211 |
+
"step": 220
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.68,
|
215 |
+
"learning_rate": 0.0002,
|
216 |
+
"loss": 0.5081,
|
217 |
+
"step": 230
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.71,
|
221 |
+
"learning_rate": 0.0002,
|
222 |
+
"loss": 0.5206,
|
223 |
+
"step": 240
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 0.74,
|
227 |
+
"learning_rate": 0.0002,
|
228 |
+
"loss": 0.4961,
|
229 |
+
"step": 250
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 0.77,
|
233 |
+
"learning_rate": 0.0002,
|
234 |
+
"loss": 0.5219,
|
235 |
+
"step": 260
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.8,
|
239 |
+
"learning_rate": 0.0002,
|
240 |
+
"loss": 0.5311,
|
241 |
+
"step": 270
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.83,
|
245 |
+
"learning_rate": 0.0002,
|
246 |
+
"loss": 0.5039,
|
247 |
+
"step": 280
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.86,
|
251 |
+
"learning_rate": 0.0002,
|
252 |
+
"loss": 0.4994,
|
253 |
+
"step": 290
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.89,
|
257 |
+
"learning_rate": 0.0002,
|
258 |
+
"loss": 0.4804,
|
259 |
+
"step": 300
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 0.92,
|
263 |
+
"learning_rate": 0.0002,
|
264 |
+
"loss": 0.4791,
|
265 |
+
"step": 310
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.95,
|
269 |
+
"learning_rate": 0.0002,
|
270 |
+
"loss": 0.4822,
|
271 |
+
"step": 320
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.98,
|
275 |
+
"learning_rate": 0.0002,
|
276 |
+
"loss": 0.5157,
|
277 |
+
"step": 330
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 1.01,
|
281 |
+
"learning_rate": 0.0002,
|
282 |
+
"loss": 0.5184,
|
283 |
+
"step": 340
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 1.04,
|
287 |
+
"learning_rate": 0.0002,
|
288 |
+
"loss": 0.4562,
|
289 |
+
"step": 350
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 1.07,
|
293 |
+
"learning_rate": 0.0002,
|
294 |
+
"loss": 0.4117,
|
295 |
+
"step": 360
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 1.1,
|
299 |
+
"learning_rate": 0.0002,
|
300 |
+
"loss": 0.451,
|
301 |
+
"step": 370
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.13,
|
305 |
+
"learning_rate": 0.0002,
|
306 |
+
"loss": 0.4237,
|
307 |
+
"step": 380
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 1.16,
|
311 |
+
"learning_rate": 0.0002,
|
312 |
+
"loss": 0.4243,
|
313 |
+
"step": 390
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 1.19,
|
317 |
+
"learning_rate": 0.0002,
|
318 |
+
"loss": 0.4409,
|
319 |
+
"step": 400
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 1.19,
|
323 |
+
"eval_loss": 0.5141976475715637,
|
324 |
+
"eval_runtime": 174.8657,
|
325 |
+
"eval_samples_per_second": 5.719,
|
326 |
+
"eval_steps_per_second": 2.859,
|
327 |
+
"step": 400
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 1.19,
|
331 |
+
"mmlu_eval_accuracy": 0.45097298030174665,
|
332 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
|
333 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
334 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
335 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
336 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
|
337 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
338 |
+
"mmlu_eval_accuracy_college_chemistry": 0.0,
|
339 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
340 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
341 |
+
"mmlu_eval_accuracy_college_medicine": 0.2727272727272727,
|
342 |
+
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
|
343 |
+
"mmlu_eval_accuracy_computer_security": 0.2727272727272727,
|
344 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
345 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
346 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
347 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
348 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
349 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
350 |
+
"mmlu_eval_accuracy_high_school_biology": 0.3125,
|
351 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
|
352 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
|
353 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
354 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
355 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
356 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
357 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
358 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
359 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
360 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333,
|
361 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
362 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
363 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
|
364 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
365 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
366 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
367 |
+
"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
|
368 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5,
|
369 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
370 |
+
"mmlu_eval_accuracy_management": 0.5454545454545454,
|
371 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
372 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
373 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
374 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
375 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
376 |
+
"mmlu_eval_accuracy_nutrition": 0.5151515151515151,
|
377 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
378 |
+
"mmlu_eval_accuracy_prehistory": 0.45714285714285713,
|
379 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
380 |
+
"mmlu_eval_accuracy_professional_law": 0.3411764705882353,
|
381 |
+
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
|
382 |
+
"mmlu_eval_accuracy_professional_psychology": 0.391304347826087,
|
383 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
384 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
385 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
386 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
387 |
+
"mmlu_eval_accuracy_virology": 0.3888888888888889,
|
388 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
389 |
+
"mmlu_loss": 1.0380505950970687,
|
390 |
+
"step": 400
|
391 |
+
}
|
392 |
+
],
|
393 |
+
"max_steps": 5000,
|
394 |
+
"num_train_epochs": 15,
|
395 |
+
"total_flos": 8.168382747058176e+16,
|
396 |
+
"trial_name": null,
|
397 |
+
"trial_params": null
|
398 |
+
}
|
checkpoint-400/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1bcfffed19c275d0ca80136a02b48634f34069fc2c974a4ef89e0cd1066213ed
|
3 |
+
size 6011
|