End of training
Browse files- README.md +14 -2
- all_results.json +15 -0
- eval_results.json +10 -0
- tokenizer.json +1 -6
- train_results.json +8 -0
- trainer_state.json +838 -0
README.md
CHANGED
@@ -3,11 +3,23 @@ license: llama2
|
|
3 |
base_model: meta-llama/Llama-2-7b-hf
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
metrics:
|
7 |
- accuracy
|
8 |
model-index:
|
9 |
- name: lmind_nq_train6000_eval6489_v1_doc_qa_v3_meta-llama_Llama-2-7b-hf_3e-5_lora2
|
10 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
---
|
12 |
|
13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -15,7 +27,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# lmind_nq_train6000_eval6489_v1_doc_qa_v3_meta-llama_Llama-2-7b-hf_3e-5_lora2
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 2.0825
|
21 |
- Accuracy: 0.5966
|
|
|
3 |
base_model: meta-llama/Llama-2-7b-hf
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- tyzhu/lmind_nq_train6000_eval6489_v1_doc_qa_v3
|
8 |
metrics:
|
9 |
- accuracy
|
10 |
model-index:
|
11 |
- name: lmind_nq_train6000_eval6489_v1_doc_qa_v3_meta-llama_Llama-2-7b-hf_3e-5_lora2
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Causal Language Modeling
|
15 |
+
type: text-generation
|
16 |
+
dataset:
|
17 |
+
name: tyzhu/lmind_nq_train6000_eval6489_v1_doc_qa_v3
|
18 |
+
type: tyzhu/lmind_nq_train6000_eval6489_v1_doc_qa_v3
|
19 |
+
metrics:
|
20 |
+
- name: Accuracy
|
21 |
+
type: accuracy
|
22 |
+
value: 0.5965641025641025
|
23 |
---
|
24 |
|
25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
27 |
|
28 |
# lmind_nq_train6000_eval6489_v1_doc_qa_v3_meta-llama_Llama-2-7b-hf_3e-5_lora2
|
29 |
|
30 |
+
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the tyzhu/lmind_nq_train6000_eval6489_v1_doc_qa_v3 dataset.
|
31 |
It achieves the following results on the evaluation set:
|
32 |
- Loss: 2.0825
|
33 |
- Accuracy: 0.5966
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.5965641025641025,
|
4 |
+
"eval_loss": 2.0825321674346924,
|
5 |
+
"eval_runtime": 4.4652,
|
6 |
+
"eval_samples": 500,
|
7 |
+
"eval_samples_per_second": 111.976,
|
8 |
+
"eval_steps_per_second": 14.109,
|
9 |
+
"perplexity": 8.024763253301586,
|
10 |
+
"train_loss": 1.0529077490245913,
|
11 |
+
"train_runtime": 7366.0235,
|
12 |
+
"train_samples": 16925,
|
13 |
+
"train_samples_per_second": 45.954,
|
14 |
+
"train_steps_per_second": 1.436
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.5965641025641025,
|
4 |
+
"eval_loss": 2.0825321674346924,
|
5 |
+
"eval_runtime": 4.4652,
|
6 |
+
"eval_samples": 500,
|
7 |
+
"eval_samples_per_second": 111.976,
|
8 |
+
"eval_steps_per_second": 14.109,
|
9 |
+
"perplexity": 8.024763253301586
|
10 |
+
}
|
tokenizer.json
CHANGED
@@ -1,11 +1,6 @@
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
-
"truncation":
|
4 |
-
"direction": "Right",
|
5 |
-
"max_length": 1024,
|
6 |
-
"strategy": "LongestFirst",
|
7 |
-
"stride": 0
|
8 |
-
},
|
9 |
"padding": null,
|
10 |
"added_tokens": [
|
11 |
{
|
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
+
"truncation": null,
|
|
|
|
|
|
|
|
|
|
|
4 |
"padding": null,
|
5 |
"added_tokens": [
|
6 |
{
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"train_loss": 1.0529077490245913,
|
4 |
+
"train_runtime": 7366.0235,
|
5 |
+
"train_samples": 16925,
|
6 |
+
"train_samples_per_second": 45.954,
|
7 |
+
"train_steps_per_second": 1.436
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,838 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 20.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 10580,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.19,
|
13 |
+
"learning_rate": 3e-05,
|
14 |
+
"loss": 1.7194,
|
15 |
+
"step": 100
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.38,
|
19 |
+
"learning_rate": 3e-05,
|
20 |
+
"loss": 1.4369,
|
21 |
+
"step": 200
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.57,
|
25 |
+
"learning_rate": 3e-05,
|
26 |
+
"loss": 1.4257,
|
27 |
+
"step": 300
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.76,
|
31 |
+
"learning_rate": 3e-05,
|
32 |
+
"loss": 1.3947,
|
33 |
+
"step": 400
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.95,
|
37 |
+
"learning_rate": 3e-05,
|
38 |
+
"loss": 1.3948,
|
39 |
+
"step": 500
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 1.0,
|
43 |
+
"eval_accuracy": 0.6132307692307692,
|
44 |
+
"eval_loss": 1.3087366819381714,
|
45 |
+
"eval_runtime": 4.3528,
|
46 |
+
"eval_samples_per_second": 114.87,
|
47 |
+
"eval_steps_per_second": 14.474,
|
48 |
+
"step": 529
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 1.13,
|
52 |
+
"learning_rate": 3e-05,
|
53 |
+
"loss": 1.3927,
|
54 |
+
"step": 600
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 1.32,
|
58 |
+
"learning_rate": 3e-05,
|
59 |
+
"loss": 1.3644,
|
60 |
+
"step": 700
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.51,
|
64 |
+
"learning_rate": 3e-05,
|
65 |
+
"loss": 1.3791,
|
66 |
+
"step": 800
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 1.7,
|
70 |
+
"learning_rate": 3e-05,
|
71 |
+
"loss": 1.3627,
|
72 |
+
"step": 900
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.89,
|
76 |
+
"learning_rate": 3e-05,
|
77 |
+
"loss": 1.3789,
|
78 |
+
"step": 1000
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 2.0,
|
82 |
+
"eval_accuracy": 0.6146153846153846,
|
83 |
+
"eval_loss": 1.289727807044983,
|
84 |
+
"eval_runtime": 4.1348,
|
85 |
+
"eval_samples_per_second": 120.924,
|
86 |
+
"eval_steps_per_second": 15.236,
|
87 |
+
"step": 1058
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 2.08,
|
91 |
+
"learning_rate": 3e-05,
|
92 |
+
"loss": 1.3605,
|
93 |
+
"step": 1100
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 2.27,
|
97 |
+
"learning_rate": 3e-05,
|
98 |
+
"loss": 1.3306,
|
99 |
+
"step": 1200
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 2.46,
|
103 |
+
"learning_rate": 3e-05,
|
104 |
+
"loss": 1.3318,
|
105 |
+
"step": 1300
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 2.65,
|
109 |
+
"learning_rate": 3e-05,
|
110 |
+
"loss": 1.3491,
|
111 |
+
"step": 1400
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.84,
|
115 |
+
"learning_rate": 3e-05,
|
116 |
+
"loss": 1.3259,
|
117 |
+
"step": 1500
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 3.0,
|
121 |
+
"eval_accuracy": 0.6178974358974358,
|
122 |
+
"eval_loss": 1.2849316596984863,
|
123 |
+
"eval_runtime": 4.2318,
|
124 |
+
"eval_samples_per_second": 118.153,
|
125 |
+
"eval_steps_per_second": 14.887,
|
126 |
+
"step": 1587
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 3.02,
|
130 |
+
"learning_rate": 3e-05,
|
131 |
+
"loss": 1.3255,
|
132 |
+
"step": 1600
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 3.21,
|
136 |
+
"learning_rate": 3e-05,
|
137 |
+
"loss": 1.28,
|
138 |
+
"step": 1700
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 3.4,
|
142 |
+
"learning_rate": 3e-05,
|
143 |
+
"loss": 1.2995,
|
144 |
+
"step": 1800
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 3.59,
|
148 |
+
"learning_rate": 3e-05,
|
149 |
+
"loss": 1.2991,
|
150 |
+
"step": 1900
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 3.78,
|
154 |
+
"learning_rate": 3e-05,
|
155 |
+
"loss": 1.3024,
|
156 |
+
"step": 2000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 3.97,
|
160 |
+
"learning_rate": 3e-05,
|
161 |
+
"loss": 1.2853,
|
162 |
+
"step": 2100
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 4.0,
|
166 |
+
"eval_accuracy": 0.615948717948718,
|
167 |
+
"eval_loss": 1.316924810409546,
|
168 |
+
"eval_runtime": 4.1288,
|
169 |
+
"eval_samples_per_second": 121.101,
|
170 |
+
"eval_steps_per_second": 15.259,
|
171 |
+
"step": 2116
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 4.16,
|
175 |
+
"learning_rate": 3e-05,
|
176 |
+
"loss": 1.2575,
|
177 |
+
"step": 2200
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 4.35,
|
181 |
+
"learning_rate": 3e-05,
|
182 |
+
"loss": 1.2261,
|
183 |
+
"step": 2300
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 4.54,
|
187 |
+
"learning_rate": 3e-05,
|
188 |
+
"loss": 1.2536,
|
189 |
+
"step": 2400
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 4.73,
|
193 |
+
"learning_rate": 3e-05,
|
194 |
+
"loss": 1.2376,
|
195 |
+
"step": 2500
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 4.91,
|
199 |
+
"learning_rate": 3e-05,
|
200 |
+
"loss": 1.2556,
|
201 |
+
"step": 2600
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 5.0,
|
205 |
+
"eval_accuracy": 0.6131794871794872,
|
206 |
+
"eval_loss": 1.3531945943832397,
|
207 |
+
"eval_runtime": 4.4339,
|
208 |
+
"eval_samples_per_second": 112.769,
|
209 |
+
"eval_steps_per_second": 14.209,
|
210 |
+
"step": 2645
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 5.1,
|
214 |
+
"learning_rate": 3e-05,
|
215 |
+
"loss": 1.2195,
|
216 |
+
"step": 2700
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 5.29,
|
220 |
+
"learning_rate": 3e-05,
|
221 |
+
"loss": 1.2003,
|
222 |
+
"step": 2800
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 5.48,
|
226 |
+
"learning_rate": 3e-05,
|
227 |
+
"loss": 1.1864,
|
228 |
+
"step": 2900
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 5.67,
|
232 |
+
"learning_rate": 3e-05,
|
233 |
+
"loss": 1.2231,
|
234 |
+
"step": 3000
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 5.86,
|
238 |
+
"learning_rate": 3e-05,
|
239 |
+
"loss": 1.1972,
|
240 |
+
"step": 3100
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 6.0,
|
244 |
+
"eval_accuracy": 0.6125641025641025,
|
245 |
+
"eval_loss": 1.4135066270828247,
|
246 |
+
"eval_runtime": 4.9566,
|
247 |
+
"eval_samples_per_second": 100.875,
|
248 |
+
"eval_steps_per_second": 12.71,
|
249 |
+
"step": 3174
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 6.05,
|
253 |
+
"learning_rate": 3e-05,
|
254 |
+
"loss": 1.1889,
|
255 |
+
"step": 3200
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 6.24,
|
259 |
+
"learning_rate": 3e-05,
|
260 |
+
"loss": 1.1471,
|
261 |
+
"step": 3300
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 6.43,
|
265 |
+
"learning_rate": 3e-05,
|
266 |
+
"loss": 1.1509,
|
267 |
+
"step": 3400
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 6.62,
|
271 |
+
"learning_rate": 3e-05,
|
272 |
+
"loss": 1.1654,
|
273 |
+
"step": 3500
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 6.81,
|
277 |
+
"learning_rate": 3e-05,
|
278 |
+
"loss": 1.1716,
|
279 |
+
"step": 3600
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 6.99,
|
283 |
+
"learning_rate": 3e-05,
|
284 |
+
"loss": 1.1839,
|
285 |
+
"step": 3700
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 7.0,
|
289 |
+
"eval_accuracy": 0.6081025641025641,
|
290 |
+
"eval_loss": 1.500714898109436,
|
291 |
+
"eval_runtime": 4.8786,
|
292 |
+
"eval_samples_per_second": 102.488,
|
293 |
+
"eval_steps_per_second": 12.914,
|
294 |
+
"step": 3703
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 7.18,
|
298 |
+
"learning_rate": 3e-05,
|
299 |
+
"loss": 1.1059,
|
300 |
+
"step": 3800
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 7.37,
|
304 |
+
"learning_rate": 3e-05,
|
305 |
+
"loss": 1.1146,
|
306 |
+
"step": 3900
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 7.56,
|
310 |
+
"learning_rate": 3e-05,
|
311 |
+
"loss": 1.1121,
|
312 |
+
"step": 4000
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 7.75,
|
316 |
+
"learning_rate": 3e-05,
|
317 |
+
"loss": 1.1286,
|
318 |
+
"step": 4100
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 7.94,
|
322 |
+
"learning_rate": 3e-05,
|
323 |
+
"loss": 1.1334,
|
324 |
+
"step": 4200
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 8.0,
|
328 |
+
"eval_accuracy": 0.6074358974358974,
|
329 |
+
"eval_loss": 1.524243950843811,
|
330 |
+
"eval_runtime": 4.9049,
|
331 |
+
"eval_samples_per_second": 101.94,
|
332 |
+
"eval_steps_per_second": 12.844,
|
333 |
+
"step": 4232
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 8.13,
|
337 |
+
"learning_rate": 3e-05,
|
338 |
+
"loss": 1.1072,
|
339 |
+
"step": 4300
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 8.32,
|
343 |
+
"learning_rate": 3e-05,
|
344 |
+
"loss": 1.0626,
|
345 |
+
"step": 4400
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 8.51,
|
349 |
+
"learning_rate": 3e-05,
|
350 |
+
"loss": 1.0842,
|
351 |
+
"step": 4500
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 8.7,
|
355 |
+
"learning_rate": 3e-05,
|
356 |
+
"loss": 1.0812,
|
357 |
+
"step": 4600
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 8.88,
|
361 |
+
"learning_rate": 3e-05,
|
362 |
+
"loss": 1.0966,
|
363 |
+
"step": 4700
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 9.0,
|
367 |
+
"eval_accuracy": 0.5802564102564103,
|
368 |
+
"eval_loss": 1.6106736660003662,
|
369 |
+
"eval_runtime": 4.8671,
|
370 |
+
"eval_samples_per_second": 102.731,
|
371 |
+
"eval_steps_per_second": 12.944,
|
372 |
+
"step": 4761
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 9.07,
|
376 |
+
"learning_rate": 3e-05,
|
377 |
+
"loss": 1.0755,
|
378 |
+
"step": 4800
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 9.26,
|
382 |
+
"learning_rate": 3e-05,
|
383 |
+
"loss": 1.0189,
|
384 |
+
"step": 4900
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 9.45,
|
388 |
+
"learning_rate": 3e-05,
|
389 |
+
"loss": 1.0565,
|
390 |
+
"step": 5000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 9.64,
|
394 |
+
"learning_rate": 3e-05,
|
395 |
+
"loss": 1.0635,
|
396 |
+
"step": 5100
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 9.83,
|
400 |
+
"learning_rate": 3e-05,
|
401 |
+
"loss": 1.0485,
|
402 |
+
"step": 5200
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 10.0,
|
406 |
+
"eval_accuracy": 0.6049230769230769,
|
407 |
+
"eval_loss": 1.6749216318130493,
|
408 |
+
"eval_runtime": 4.8537,
|
409 |
+
"eval_samples_per_second": 103.013,
|
410 |
+
"eval_steps_per_second": 12.98,
|
411 |
+
"step": 5290
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 10.02,
|
415 |
+
"learning_rate": 3e-05,
|
416 |
+
"loss": 1.0585,
|
417 |
+
"step": 5300
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 10.21,
|
421 |
+
"learning_rate": 3e-05,
|
422 |
+
"loss": 1.0098,
|
423 |
+
"step": 5400
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 10.4,
|
427 |
+
"learning_rate": 3e-05,
|
428 |
+
"loss": 0.9935,
|
429 |
+
"step": 5500
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 10.59,
|
433 |
+
"learning_rate": 3e-05,
|
434 |
+
"loss": 1.0178,
|
435 |
+
"step": 5600
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 10.78,
|
439 |
+
"learning_rate": 3e-05,
|
440 |
+
"loss": 1.0217,
|
441 |
+
"step": 5700
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 10.96,
|
445 |
+
"learning_rate": 3e-05,
|
446 |
+
"loss": 1.021,
|
447 |
+
"step": 5800
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 11.0,
|
451 |
+
"eval_accuracy": 0.6014871794871794,
|
452 |
+
"eval_loss": 1.7323671579360962,
|
453 |
+
"eval_runtime": 4.2401,
|
454 |
+
"eval_samples_per_second": 117.922,
|
455 |
+
"eval_steps_per_second": 14.858,
|
456 |
+
"step": 5819
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 11.15,
|
460 |
+
"learning_rate": 3e-05,
|
461 |
+
"loss": 0.9788,
|
462 |
+
"step": 5900
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 11.34,
|
466 |
+
"learning_rate": 3e-05,
|
467 |
+
"loss": 0.9799,
|
468 |
+
"step": 6000
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 11.53,
|
472 |
+
"learning_rate": 3e-05,
|
473 |
+
"loss": 0.9749,
|
474 |
+
"step": 6100
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 11.72,
|
478 |
+
"learning_rate": 3e-05,
|
479 |
+
"loss": 0.981,
|
480 |
+
"step": 6200
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 11.91,
|
484 |
+
"learning_rate": 3e-05,
|
485 |
+
"loss": 0.9918,
|
486 |
+
"step": 6300
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 12.0,
|
490 |
+
"eval_accuracy": 0.6007179487179487,
|
491 |
+
"eval_loss": 1.7632156610488892,
|
492 |
+
"eval_runtime": 5.2634,
|
493 |
+
"eval_samples_per_second": 94.995,
|
494 |
+
"eval_steps_per_second": 11.969,
|
495 |
+
"step": 6348
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 12.1,
|
499 |
+
"learning_rate": 3e-05,
|
500 |
+
"loss": 0.967,
|
501 |
+
"step": 6400
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 12.29,
|
505 |
+
"learning_rate": 3e-05,
|
506 |
+
"loss": 0.9341,
|
507 |
+
"step": 6500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 12.48,
|
511 |
+
"learning_rate": 3e-05,
|
512 |
+
"loss": 0.9656,
|
513 |
+
"step": 6600
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 12.67,
|
517 |
+
"learning_rate": 3e-05,
|
518 |
+
"loss": 0.9519,
|
519 |
+
"step": 6700
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 12.85,
|
523 |
+
"learning_rate": 3e-05,
|
524 |
+
"loss": 0.947,
|
525 |
+
"step": 6800
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 13.0,
|
529 |
+
"eval_accuracy": 0.6010769230769231,
|
530 |
+
"eval_loss": 1.8302537202835083,
|
531 |
+
"eval_runtime": 4.8387,
|
532 |
+
"eval_samples_per_second": 103.333,
|
533 |
+
"eval_steps_per_second": 13.02,
|
534 |
+
"step": 6877
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 13.04,
|
538 |
+
"learning_rate": 3e-05,
|
539 |
+
"loss": 0.9461,
|
540 |
+
"step": 6900
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 13.23,
|
544 |
+
"learning_rate": 3e-05,
|
545 |
+
"loss": 0.9153,
|
546 |
+
"step": 7000
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 13.42,
|
550 |
+
"learning_rate": 3e-05,
|
551 |
+
"loss": 0.9166,
|
552 |
+
"step": 7100
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 13.61,
|
556 |
+
"learning_rate": 3e-05,
|
557 |
+
"loss": 0.9266,
|
558 |
+
"step": 7200
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 13.8,
|
562 |
+
"learning_rate": 3e-05,
|
563 |
+
"loss": 0.9089,
|
564 |
+
"step": 7300
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 13.99,
|
568 |
+
"learning_rate": 3e-05,
|
569 |
+
"loss": 0.9376,
|
570 |
+
"step": 7400
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 14.0,
|
574 |
+
"eval_accuracy": 0.5990769230769231,
|
575 |
+
"eval_loss": 1.8872731924057007,
|
576 |
+
"eval_runtime": 4.8378,
|
577 |
+
"eval_samples_per_second": 103.354,
|
578 |
+
"eval_steps_per_second": 13.023,
|
579 |
+
"step": 7406
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 14.18,
|
583 |
+
"learning_rate": 3e-05,
|
584 |
+
"loss": 0.8792,
|
585 |
+
"step": 7500
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 14.37,
|
589 |
+
"learning_rate": 3e-05,
|
590 |
+
"loss": 0.8787,
|
591 |
+
"step": 7600
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 14.56,
|
595 |
+
"learning_rate": 3e-05,
|
596 |
+
"loss": 0.874,
|
597 |
+
"step": 7700
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 14.74,
|
601 |
+
"learning_rate": 3e-05,
|
602 |
+
"loss": 0.9123,
|
603 |
+
"step": 7800
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 14.93,
|
607 |
+
"learning_rate": 3e-05,
|
608 |
+
"loss": 0.898,
|
609 |
+
"step": 7900
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 15.0,
|
613 |
+
"eval_accuracy": 0.5975897435897436,
|
614 |
+
"eval_loss": 1.96884024143219,
|
615 |
+
"eval_runtime": 4.4382,
|
616 |
+
"eval_samples_per_second": 112.657,
|
617 |
+
"eval_steps_per_second": 14.195,
|
618 |
+
"step": 7935
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 15.12,
|
622 |
+
"learning_rate": 3e-05,
|
623 |
+
"loss": 0.8631,
|
624 |
+
"step": 8000
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 15.31,
|
628 |
+
"learning_rate": 3e-05,
|
629 |
+
"loss": 0.8353,
|
630 |
+
"step": 8100
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 15.5,
|
634 |
+
"learning_rate": 3e-05,
|
635 |
+
"loss": 0.8673,
|
636 |
+
"step": 8200
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 15.69,
|
640 |
+
"learning_rate": 3e-05,
|
641 |
+
"loss": 0.8515,
|
642 |
+
"step": 8300
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 15.88,
|
646 |
+
"learning_rate": 3e-05,
|
647 |
+
"loss": 0.8559,
|
648 |
+
"step": 8400
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 16.0,
|
652 |
+
"eval_accuracy": 0.5987692307692307,
|
653 |
+
"eval_loss": 1.9724328517913818,
|
654 |
+
"eval_runtime": 4.4368,
|
655 |
+
"eval_samples_per_second": 112.695,
|
656 |
+
"eval_steps_per_second": 14.2,
|
657 |
+
"step": 8464
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 16.07,
|
661 |
+
"learning_rate": 3e-05,
|
662 |
+
"loss": 0.8508,
|
663 |
+
"step": 8500
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 16.26,
|
667 |
+
"learning_rate": 3e-05,
|
668 |
+
"loss": 0.8122,
|
669 |
+
"step": 8600
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 16.45,
|
673 |
+
"learning_rate": 3e-05,
|
674 |
+
"loss": 0.8223,
|
675 |
+
"step": 8700
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 16.64,
|
679 |
+
"learning_rate": 3e-05,
|
680 |
+
"loss": 0.8275,
|
681 |
+
"step": 8800
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 16.82,
|
685 |
+
"learning_rate": 3e-05,
|
686 |
+
"loss": 0.8348,
|
687 |
+
"step": 8900
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 17.0,
|
691 |
+
"eval_accuracy": 0.5713846153846154,
|
692 |
+
"eval_loss": 1.9815243482589722,
|
693 |
+
"eval_runtime": 4.8518,
|
694 |
+
"eval_samples_per_second": 103.054,
|
695 |
+
"eval_steps_per_second": 12.985,
|
696 |
+
"step": 8993
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 17.01,
|
700 |
+
"learning_rate": 3e-05,
|
701 |
+
"loss": 0.837,
|
702 |
+
"step": 9000
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 17.2,
|
706 |
+
"learning_rate": 3e-05,
|
707 |
+
"loss": 0.7764,
|
708 |
+
"step": 9100
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 17.39,
|
712 |
+
"learning_rate": 3e-05,
|
713 |
+
"loss": 0.7817,
|
714 |
+
"step": 9200
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 17.58,
|
718 |
+
"learning_rate": 3e-05,
|
719 |
+
"loss": 0.8068,
|
720 |
+
"step": 9300
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 17.77,
|
724 |
+
"learning_rate": 3e-05,
|
725 |
+
"loss": 0.7968,
|
726 |
+
"step": 9400
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 17.96,
|
730 |
+
"learning_rate": 3e-05,
|
731 |
+
"loss": 0.8106,
|
732 |
+
"step": 9500
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 18.0,
|
736 |
+
"eval_accuracy": 0.598,
|
737 |
+
"eval_loss": 2.038572072982788,
|
738 |
+
"eval_runtime": 4.8974,
|
739 |
+
"eval_samples_per_second": 102.096,
|
740 |
+
"eval_steps_per_second": 12.864,
|
741 |
+
"step": 9522
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 18.15,
|
745 |
+
"learning_rate": 3e-05,
|
746 |
+
"loss": 0.7697,
|
747 |
+
"step": 9600
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 18.34,
|
751 |
+
"learning_rate": 3e-05,
|
752 |
+
"loss": 0.7429,
|
753 |
+
"step": 9700
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 18.53,
|
757 |
+
"learning_rate": 3e-05,
|
758 |
+
"loss": 0.7468,
|
759 |
+
"step": 9800
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 18.71,
|
763 |
+
"learning_rate": 3e-05,
|
764 |
+
"loss": 0.7667,
|
765 |
+
"step": 9900
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 18.9,
|
769 |
+
"learning_rate": 3e-05,
|
770 |
+
"loss": 0.7848,
|
771 |
+
"step": 10000
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 19.0,
|
775 |
+
"eval_accuracy": 0.5963589743589743,
|
776 |
+
"eval_loss": 2.0627450942993164,
|
777 |
+
"eval_runtime": 5.1596,
|
778 |
+
"eval_samples_per_second": 96.906,
|
779 |
+
"eval_steps_per_second": 12.21,
|
780 |
+
"step": 10051
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 19.09,
|
784 |
+
"learning_rate": 3e-05,
|
785 |
+
"loss": 0.7537,
|
786 |
+
"step": 10100
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 19.28,
|
790 |
+
"learning_rate": 3e-05,
|
791 |
+
"loss": 0.718,
|
792 |
+
"step": 10200
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 19.47,
|
796 |
+
"learning_rate": 3e-05,
|
797 |
+
"loss": 0.7241,
|
798 |
+
"step": 10300
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 19.66,
|
802 |
+
"learning_rate": 3e-05,
|
803 |
+
"loss": 0.7421,
|
804 |
+
"step": 10400
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 19.85,
|
808 |
+
"learning_rate": 3e-05,
|
809 |
+
"loss": 0.745,
|
810 |
+
"step": 10500
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 20.0,
|
814 |
+
"eval_accuracy": 0.5965641025641025,
|
815 |
+
"eval_loss": 2.0825321674346924,
|
816 |
+
"eval_runtime": 4.1414,
|
817 |
+
"eval_samples_per_second": 120.733,
|
818 |
+
"eval_steps_per_second": 15.212,
|
819 |
+
"step": 10580
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 20.0,
|
823 |
+
"step": 10580,
|
824 |
+
"total_flos": 1.7870734670660895e+18,
|
825 |
+
"train_loss": 1.0529077490245913,
|
826 |
+
"train_runtime": 7366.0235,
|
827 |
+
"train_samples_per_second": 45.954,
|
828 |
+
"train_steps_per_second": 1.436
|
829 |
+
}
|
830 |
+
],
|
831 |
+
"logging_steps": 100,
|
832 |
+
"max_steps": 10580,
|
833 |
+
"num_train_epochs": 20,
|
834 |
+
"save_steps": 500,
|
835 |
+
"total_flos": 1.7870734670660895e+18,
|
836 |
+
"trial_name": null,
|
837 |
+
"trial_params": null
|
838 |
+
}
|