Upload 13 files
Browse files- README.md +202 -3
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +10 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +110 -0
- trainer_state.json +1359 -0
- training_args.bin +3 -0
README.md
CHANGED
@@ -1,3 +1,202 @@
|
|
1 |
-
---
|
2 |
-
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: MediaTek-Research/Breeze-7B-FC-v1_0
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.12.0
|
adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "E:\\text-generation-webui-1.14\\models\\MediaTek-Research_Breeze-7B-FC-v1_0",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"up_proj",
|
25 |
+
"o_proj",
|
26 |
+
"q_proj",
|
27 |
+
"gate_proj",
|
28 |
+
"down_proj",
|
29 |
+
"k_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c32bf7b57ed089e8766f74965674c1174ee6f93d3c61dfebe3921a92ca6d73a7
|
3 |
+
size 83945296
|
added_tokens.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<EOD>": 61873,
|
3 |
+
"<PAD>": 61874,
|
4 |
+
"<|answer|>": 61880,
|
5 |
+
"<|im_end|>": 61876,
|
6 |
+
"<|im_start|>": 61875,
|
7 |
+
"<|tool_call_begin|>": 61877,
|
8 |
+
"<|tool_call_end|>": 61878,
|
9 |
+
"<|use_tool|>": 61879
|
10 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76f5d9991a952c781ec93fa633874bfe6f1be3107d7bcd513069306e922d5bf3
|
3 |
+
size 43122964
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dcee61872be8ce4b146937b29f4c887e8389a189ad402764ed693c6c6611ac20
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8d2ed3da33bcb8817ec218d967507fb0ee215dfa8b8db7d2daec6625858ca6f3
|
3 |
+
size 1192
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9298e56c094f0d30431b0e52ad53287f0cadc99ac8ca17cc2144b0eb4753f130
|
3 |
+
size 911034
|
tokenizer_config.json
ADDED
@@ -0,0 +1,110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"61873": {
|
31 |
+
"content": "<EOD>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"61874": {
|
39 |
+
"content": "<PAD>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"61875": {
|
47 |
+
"content": "<|im_start|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
+
"61876": {
|
55 |
+
"content": "<|im_end|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
+
"61877": {
|
63 |
+
"content": "<|tool_call_begin|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": false
|
69 |
+
},
|
70 |
+
"61878": {
|
71 |
+
"content": "<|tool_call_end|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": false
|
77 |
+
},
|
78 |
+
"61879": {
|
79 |
+
"content": "<|use_tool|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": false
|
85 |
+
},
|
86 |
+
"61880": {
|
87 |
+
"content": "<|answer|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": false
|
93 |
+
}
|
94 |
+
},
|
95 |
+
"bos_token": "<s>",
|
96 |
+
"chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '[INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
|
97 |
+
"clean_up_tokenization_spaces": false,
|
98 |
+
"eos_token": "</s>",
|
99 |
+
"legacy": true,
|
100 |
+
"model_max_length": 1000000000000000019884624838656,
|
101 |
+
"pad_token": "</s>",
|
102 |
+
"padding_side": "right",
|
103 |
+
"sp_model_kwargs": {},
|
104 |
+
"spaces_between_special_tokens": false,
|
105 |
+
"split_special_tokens": false,
|
106 |
+
"tokenizer_class": "LlamaTokenizer",
|
107 |
+
"unk_token": "<unk>",
|
108 |
+
"use_default_system_prompt": false,
|
109 |
+
"use_fast": true
|
110 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1359 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.08053209632635117,
|
3 |
+
"best_model_checkpoint": "saves/Breeze-7B-FC-v1_0-15-12-2024\\checkpoint-1700",
|
4 |
+
"epoch": 0.3381150088257962,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 1700,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0019889118166223304,
|
13 |
+
"grad_norm": 0.6233828067779541,
|
14 |
+
"learning_rate": 0.0004,
|
15 |
+
"loss": 0.7108,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.003977823633244661,
|
20 |
+
"grad_norm": 0.4662277102470398,
|
21 |
+
"learning_rate": 0.0004,
|
22 |
+
"loss": 0.729,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.005966735449866992,
|
27 |
+
"grad_norm": 0.5307815670967102,
|
28 |
+
"learning_rate": 0.0004,
|
29 |
+
"loss": 0.6936,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.007955647266489322,
|
34 |
+
"grad_norm": 0.5890870690345764,
|
35 |
+
"learning_rate": 0.0004,
|
36 |
+
"loss": 0.7229,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.009944559083111653,
|
41 |
+
"grad_norm": 0.5515501499176025,
|
42 |
+
"learning_rate": 0.0004,
|
43 |
+
"loss": 0.6669,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.011933470899733983,
|
48 |
+
"grad_norm": 0.5326377153396606,
|
49 |
+
"learning_rate": 0.0004,
|
50 |
+
"loss": 0.6564,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.013922382716356313,
|
55 |
+
"grad_norm": 0.5636907815933228,
|
56 |
+
"learning_rate": 0.0004,
|
57 |
+
"loss": 0.6773,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.015911294532978643,
|
62 |
+
"grad_norm": 0.49359801411628723,
|
63 |
+
"learning_rate": 0.0004,
|
64 |
+
"loss": 0.6516,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.017900206349600975,
|
69 |
+
"grad_norm": 0.4739631116390228,
|
70 |
+
"learning_rate": 0.0004,
|
71 |
+
"loss": 0.6594,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.019889118166223307,
|
76 |
+
"grad_norm": 0.5182624459266663,
|
77 |
+
"learning_rate": 0.0004,
|
78 |
+
"loss": 0.69,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.019889118166223307,
|
83 |
+
"eval_loss": 0.08401616662740707,
|
84 |
+
"eval_runtime": 30.1147,
|
85 |
+
"eval_samples_per_second": 2.69,
|
86 |
+
"eval_steps_per_second": 1.361,
|
87 |
+
"step": 100
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.021878029982845635,
|
91 |
+
"grad_norm": 0.5577639937400818,
|
92 |
+
"learning_rate": 0.0004,
|
93 |
+
"loss": 0.6813,
|
94 |
+
"step": 110
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.023866941799467967,
|
98 |
+
"grad_norm": 0.5308650732040405,
|
99 |
+
"learning_rate": 0.0004,
|
100 |
+
"loss": 0.689,
|
101 |
+
"step": 120
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.025855853616090295,
|
105 |
+
"grad_norm": 0.705682635307312,
|
106 |
+
"learning_rate": 0.0004,
|
107 |
+
"loss": 0.6846,
|
108 |
+
"step": 130
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.027844765432712627,
|
112 |
+
"grad_norm": 0.5250112414360046,
|
113 |
+
"learning_rate": 0.0004,
|
114 |
+
"loss": 0.6699,
|
115 |
+
"step": 140
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.02983367724933496,
|
119 |
+
"grad_norm": 0.5885920524597168,
|
120 |
+
"learning_rate": 0.0004,
|
121 |
+
"loss": 0.6733,
|
122 |
+
"step": 150
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.03182258906595729,
|
126 |
+
"grad_norm": 0.5392662286758423,
|
127 |
+
"learning_rate": 0.0004,
|
128 |
+
"loss": 0.673,
|
129 |
+
"step": 160
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.03381150088257962,
|
133 |
+
"grad_norm": 0.576032280921936,
|
134 |
+
"learning_rate": 0.0004,
|
135 |
+
"loss": 0.6934,
|
136 |
+
"step": 170
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.03580041269920195,
|
140 |
+
"grad_norm": 0.5046477317810059,
|
141 |
+
"learning_rate": 0.0004,
|
142 |
+
"loss": 0.6535,
|
143 |
+
"step": 180
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.03778932451582428,
|
147 |
+
"grad_norm": 0.628962516784668,
|
148 |
+
"learning_rate": 0.0004,
|
149 |
+
"loss": 0.6758,
|
150 |
+
"step": 190
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.03977823633244661,
|
154 |
+
"grad_norm": 0.5312318801879883,
|
155 |
+
"learning_rate": 0.0004,
|
156 |
+
"loss": 0.6839,
|
157 |
+
"step": 200
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.03977823633244661,
|
161 |
+
"eval_loss": 0.08386518061161041,
|
162 |
+
"eval_runtime": 30.1222,
|
163 |
+
"eval_samples_per_second": 2.689,
|
164 |
+
"eval_steps_per_second": 1.361,
|
165 |
+
"step": 200
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.04176714814906894,
|
169 |
+
"grad_norm": 0.5689460635185242,
|
170 |
+
"learning_rate": 0.0004,
|
171 |
+
"loss": 0.6616,
|
172 |
+
"step": 210
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.04375605996569127,
|
176 |
+
"grad_norm": 0.5760230422019958,
|
177 |
+
"learning_rate": 0.0004,
|
178 |
+
"loss": 0.67,
|
179 |
+
"step": 220
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.045744971782313605,
|
183 |
+
"grad_norm": 0.6037033200263977,
|
184 |
+
"learning_rate": 0.0004,
|
185 |
+
"loss": 0.6608,
|
186 |
+
"step": 230
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.04773388359893593,
|
190 |
+
"grad_norm": 0.5196573138237,
|
191 |
+
"learning_rate": 0.0004,
|
192 |
+
"loss": 0.672,
|
193 |
+
"step": 240
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.04972279541555826,
|
197 |
+
"grad_norm": 0.5766464471817017,
|
198 |
+
"learning_rate": 0.0004,
|
199 |
+
"loss": 0.6651,
|
200 |
+
"step": 250
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.05171170723218059,
|
204 |
+
"grad_norm": 0.5686795711517334,
|
205 |
+
"learning_rate": 0.0004,
|
206 |
+
"loss": 0.6351,
|
207 |
+
"step": 260
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.053700619048802925,
|
211 |
+
"grad_norm": 0.5607637763023376,
|
212 |
+
"learning_rate": 0.0004,
|
213 |
+
"loss": 0.659,
|
214 |
+
"step": 270
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.05568953086542525,
|
218 |
+
"grad_norm": 0.545982837677002,
|
219 |
+
"learning_rate": 0.0004,
|
220 |
+
"loss": 0.6297,
|
221 |
+
"step": 280
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.05767844268204758,
|
225 |
+
"grad_norm": 0.6047331690788269,
|
226 |
+
"learning_rate": 0.0004,
|
227 |
+
"loss": 0.6541,
|
228 |
+
"step": 290
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.05966735449866992,
|
232 |
+
"grad_norm": 0.5864997506141663,
|
233 |
+
"learning_rate": 0.0004,
|
234 |
+
"loss": 0.6831,
|
235 |
+
"step": 300
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.05966735449866992,
|
239 |
+
"eval_loss": 0.0832422524690628,
|
240 |
+
"eval_runtime": 30.1361,
|
241 |
+
"eval_samples_per_second": 2.688,
|
242 |
+
"eval_steps_per_second": 1.36,
|
243 |
+
"step": 300
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.061656266315292245,
|
247 |
+
"grad_norm": 0.6031671166419983,
|
248 |
+
"learning_rate": 0.0004,
|
249 |
+
"loss": 0.6441,
|
250 |
+
"step": 310
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.06364517813191457,
|
254 |
+
"grad_norm": 0.5433733463287354,
|
255 |
+
"learning_rate": 0.0004,
|
256 |
+
"loss": 0.6836,
|
257 |
+
"step": 320
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.06563408994853691,
|
261 |
+
"grad_norm": 0.5863742232322693,
|
262 |
+
"learning_rate": 0.0004,
|
263 |
+
"loss": 0.6804,
|
264 |
+
"step": 330
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.06762300176515924,
|
268 |
+
"grad_norm": 0.7768782377243042,
|
269 |
+
"learning_rate": 0.0004,
|
270 |
+
"loss": 0.7014,
|
271 |
+
"step": 340
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.06961191358178156,
|
275 |
+
"grad_norm": 0.548475444316864,
|
276 |
+
"learning_rate": 0.0004,
|
277 |
+
"loss": 0.6545,
|
278 |
+
"step": 350
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.0716008253984039,
|
282 |
+
"grad_norm": 0.7511247992515564,
|
283 |
+
"learning_rate": 0.0004,
|
284 |
+
"loss": 0.6478,
|
285 |
+
"step": 360
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.07358973721502624,
|
289 |
+
"grad_norm": 0.6464333534240723,
|
290 |
+
"learning_rate": 0.0004,
|
291 |
+
"loss": 0.6762,
|
292 |
+
"step": 370
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 0.07557864903164856,
|
296 |
+
"grad_norm": 0.6280458569526672,
|
297 |
+
"learning_rate": 0.0004,
|
298 |
+
"loss": 0.6723,
|
299 |
+
"step": 380
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.07756756084827089,
|
303 |
+
"grad_norm": 0.6138644218444824,
|
304 |
+
"learning_rate": 0.0004,
|
305 |
+
"loss": 0.6834,
|
306 |
+
"step": 390
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.07955647266489323,
|
310 |
+
"grad_norm": 0.6612856984138489,
|
311 |
+
"learning_rate": 0.0004,
|
312 |
+
"loss": 0.662,
|
313 |
+
"step": 400
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.07955647266489323,
|
317 |
+
"eval_loss": 0.08379939943552017,
|
318 |
+
"eval_runtime": 30.1324,
|
319 |
+
"eval_samples_per_second": 2.688,
|
320 |
+
"eval_steps_per_second": 1.361,
|
321 |
+
"step": 400
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.08154538448151555,
|
325 |
+
"grad_norm": 0.5658541917800903,
|
326 |
+
"learning_rate": 0.0004,
|
327 |
+
"loss": 0.6507,
|
328 |
+
"step": 410
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 0.08353429629813788,
|
332 |
+
"grad_norm": 0.5861065983772278,
|
333 |
+
"learning_rate": 0.0004,
|
334 |
+
"loss": 0.6565,
|
335 |
+
"step": 420
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.08552320811476022,
|
339 |
+
"grad_norm": 0.6580057144165039,
|
340 |
+
"learning_rate": 0.0004,
|
341 |
+
"loss": 0.6961,
|
342 |
+
"step": 430
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 0.08751211993138254,
|
346 |
+
"grad_norm": 0.6456801295280457,
|
347 |
+
"learning_rate": 0.0004,
|
348 |
+
"loss": 0.6667,
|
349 |
+
"step": 440
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.08950103174800488,
|
353 |
+
"grad_norm": 0.6603415608406067,
|
354 |
+
"learning_rate": 0.0004,
|
355 |
+
"loss": 0.6589,
|
356 |
+
"step": 450
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.09148994356462721,
|
360 |
+
"grad_norm": 0.6744834184646606,
|
361 |
+
"learning_rate": 0.0004,
|
362 |
+
"loss": 0.6791,
|
363 |
+
"step": 460
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.09347885538124953,
|
367 |
+
"grad_norm": 0.6219160556793213,
|
368 |
+
"learning_rate": 0.0004,
|
369 |
+
"loss": 0.6748,
|
370 |
+
"step": 470
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 0.09546776719787187,
|
374 |
+
"grad_norm": 0.6373462677001953,
|
375 |
+
"learning_rate": 0.0004,
|
376 |
+
"loss": 0.654,
|
377 |
+
"step": 480
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.09745667901449419,
|
381 |
+
"grad_norm": 0.7271533608436584,
|
382 |
+
"learning_rate": 0.0004,
|
383 |
+
"loss": 0.651,
|
384 |
+
"step": 490
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.09944559083111652,
|
388 |
+
"grad_norm": 0.6483666300773621,
|
389 |
+
"learning_rate": 0.0004,
|
390 |
+
"loss": 0.6728,
|
391 |
+
"step": 500
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 0.09944559083111652,
|
395 |
+
"eval_loss": 0.08319716155529022,
|
396 |
+
"eval_runtime": 30.1252,
|
397 |
+
"eval_samples_per_second": 2.689,
|
398 |
+
"eval_steps_per_second": 1.361,
|
399 |
+
"step": 500
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.10143450264773886,
|
403 |
+
"grad_norm": 0.5817425847053528,
|
404 |
+
"learning_rate": 0.0004,
|
405 |
+
"loss": 0.6571,
|
406 |
+
"step": 510
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 0.10342341446436118,
|
410 |
+
"grad_norm": 0.6830428838729858,
|
411 |
+
"learning_rate": 0.0004,
|
412 |
+
"loss": 0.6618,
|
413 |
+
"step": 520
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.10541232628098351,
|
417 |
+
"grad_norm": 0.5775642395019531,
|
418 |
+
"learning_rate": 0.0004,
|
419 |
+
"loss": 0.6181,
|
420 |
+
"step": 530
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.10740123809760585,
|
424 |
+
"grad_norm": 0.6007582545280457,
|
425 |
+
"learning_rate": 0.0004,
|
426 |
+
"loss": 0.6839,
|
427 |
+
"step": 540
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 0.10939014991422817,
|
431 |
+
"grad_norm": 0.648262083530426,
|
432 |
+
"learning_rate": 0.0004,
|
433 |
+
"loss": 0.6643,
|
434 |
+
"step": 550
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.1113790617308505,
|
438 |
+
"grad_norm": 0.6632483601570129,
|
439 |
+
"learning_rate": 0.0004,
|
440 |
+
"loss": 0.652,
|
441 |
+
"step": 560
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.11336797354747284,
|
445 |
+
"grad_norm": 0.5972626805305481,
|
446 |
+
"learning_rate": 0.0004,
|
447 |
+
"loss": 0.6938,
|
448 |
+
"step": 570
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 0.11535688536409516,
|
452 |
+
"grad_norm": 0.6052406430244446,
|
453 |
+
"learning_rate": 0.0004,
|
454 |
+
"loss": 0.6301,
|
455 |
+
"step": 580
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 0.1173457971807175,
|
459 |
+
"grad_norm": 0.5875466465950012,
|
460 |
+
"learning_rate": 0.0004,
|
461 |
+
"loss": 0.6614,
|
462 |
+
"step": 590
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.11933470899733983,
|
466 |
+
"grad_norm": 0.7067976593971252,
|
467 |
+
"learning_rate": 0.0004,
|
468 |
+
"loss": 0.647,
|
469 |
+
"step": 600
|
470 |
+
},
|
471 |
+
{
|
472 |
+
"epoch": 0.11933470899733983,
|
473 |
+
"eval_loss": 0.08319241553544998,
|
474 |
+
"eval_runtime": 30.1031,
|
475 |
+
"eval_samples_per_second": 2.691,
|
476 |
+
"eval_steps_per_second": 1.362,
|
477 |
+
"step": 600
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.12132362081396215,
|
481 |
+
"grad_norm": 0.66518634557724,
|
482 |
+
"learning_rate": 0.0004,
|
483 |
+
"loss": 0.693,
|
484 |
+
"step": 610
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 0.12331253263058449,
|
488 |
+
"grad_norm": 0.6959813833236694,
|
489 |
+
"learning_rate": 0.0004,
|
490 |
+
"loss": 0.6747,
|
491 |
+
"step": 620
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.1253014444472068,
|
495 |
+
"grad_norm": 0.935105562210083,
|
496 |
+
"learning_rate": 0.0004,
|
497 |
+
"loss": 0.6686,
|
498 |
+
"step": 630
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.12729035626382915,
|
502 |
+
"grad_norm": 0.713768720626831,
|
503 |
+
"learning_rate": 0.0004,
|
504 |
+
"loss": 0.6707,
|
505 |
+
"step": 640
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.12927926808045148,
|
509 |
+
"grad_norm": 0.7059699296951294,
|
510 |
+
"learning_rate": 0.0004,
|
511 |
+
"loss": 0.7255,
|
512 |
+
"step": 650
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.13126817989707382,
|
516 |
+
"grad_norm": 0.588306725025177,
|
517 |
+
"learning_rate": 0.0004,
|
518 |
+
"loss": 0.6689,
|
519 |
+
"step": 660
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.13325709171369615,
|
523 |
+
"grad_norm": 0.6097111105918884,
|
524 |
+
"learning_rate": 0.0004,
|
525 |
+
"loss": 0.6612,
|
526 |
+
"step": 670
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 0.1352460035303185,
|
530 |
+
"grad_norm": 0.642393946647644,
|
531 |
+
"learning_rate": 0.0004,
|
532 |
+
"loss": 0.6743,
|
533 |
+
"step": 680
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.1372349153469408,
|
537 |
+
"grad_norm": 0.7600162625312805,
|
538 |
+
"learning_rate": 0.0004,
|
539 |
+
"loss": 0.6768,
|
540 |
+
"step": 690
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 0.13922382716356313,
|
544 |
+
"grad_norm": 0.7193499207496643,
|
545 |
+
"learning_rate": 0.0004,
|
546 |
+
"loss": 0.6559,
|
547 |
+
"step": 700
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 0.13922382716356313,
|
551 |
+
"eval_loss": 0.08392166346311569,
|
552 |
+
"eval_runtime": 30.1253,
|
553 |
+
"eval_samples_per_second": 2.689,
|
554 |
+
"eval_steps_per_second": 1.361,
|
555 |
+
"step": 700
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.14121273898018546,
|
559 |
+
"grad_norm": 0.6542356014251709,
|
560 |
+
"learning_rate": 0.0004,
|
561 |
+
"loss": 0.6775,
|
562 |
+
"step": 710
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.1432016507968078,
|
566 |
+
"grad_norm": 0.629941999912262,
|
567 |
+
"learning_rate": 0.0004,
|
568 |
+
"loss": 0.6223,
|
569 |
+
"step": 720
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.14519056261343014,
|
573 |
+
"grad_norm": 0.6493385434150696,
|
574 |
+
"learning_rate": 0.0004,
|
575 |
+
"loss": 0.6894,
|
576 |
+
"step": 730
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.14717947443005247,
|
580 |
+
"grad_norm": 0.7201417684555054,
|
581 |
+
"learning_rate": 0.0004,
|
582 |
+
"loss": 0.6858,
|
583 |
+
"step": 740
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.14916838624667478,
|
587 |
+
"grad_norm": 0.6775253415107727,
|
588 |
+
"learning_rate": 0.0004,
|
589 |
+
"loss": 0.6628,
|
590 |
+
"step": 750
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.1511572980632971,
|
594 |
+
"grad_norm": 0.6149548292160034,
|
595 |
+
"learning_rate": 0.0004,
|
596 |
+
"loss": 0.6993,
|
597 |
+
"step": 760
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.15314620987991945,
|
601 |
+
"grad_norm": 0.6627587080001831,
|
602 |
+
"learning_rate": 0.0004,
|
603 |
+
"loss": 0.646,
|
604 |
+
"step": 770
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.15513512169654178,
|
608 |
+
"grad_norm": 0.6701797842979431,
|
609 |
+
"learning_rate": 0.0004,
|
610 |
+
"loss": 0.6927,
|
611 |
+
"step": 780
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.15712403351316412,
|
615 |
+
"grad_norm": 0.678193211555481,
|
616 |
+
"learning_rate": 0.0004,
|
617 |
+
"loss": 0.6454,
|
618 |
+
"step": 790
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.15911294532978645,
|
622 |
+
"grad_norm": 0.6337444186210632,
|
623 |
+
"learning_rate": 0.0004,
|
624 |
+
"loss": 0.6723,
|
625 |
+
"step": 800
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.15911294532978645,
|
629 |
+
"eval_loss": 0.08426591008901596,
|
630 |
+
"eval_runtime": 30.0445,
|
631 |
+
"eval_samples_per_second": 2.696,
|
632 |
+
"eval_steps_per_second": 1.365,
|
633 |
+
"step": 800
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.16110185714640876,
|
637 |
+
"grad_norm": 0.654451310634613,
|
638 |
+
"learning_rate": 0.0004,
|
639 |
+
"loss": 0.6799,
|
640 |
+
"step": 810
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.1630907689630311,
|
644 |
+
"grad_norm": 0.6989086866378784,
|
645 |
+
"learning_rate": 0.0004,
|
646 |
+
"loss": 0.6694,
|
647 |
+
"step": 820
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.16507968077965343,
|
651 |
+
"grad_norm": 0.6176579594612122,
|
652 |
+
"learning_rate": 0.0004,
|
653 |
+
"loss": 0.6225,
|
654 |
+
"step": 830
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.16706859259627577,
|
658 |
+
"grad_norm": 0.6462605595588684,
|
659 |
+
"learning_rate": 0.0004,
|
660 |
+
"loss": 0.6584,
|
661 |
+
"step": 840
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.1690575044128981,
|
665 |
+
"grad_norm": 0.7809733748435974,
|
666 |
+
"learning_rate": 0.0004,
|
667 |
+
"loss": 0.6601,
|
668 |
+
"step": 850
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.17104641622952044,
|
672 |
+
"grad_norm": 0.7143774032592773,
|
673 |
+
"learning_rate": 0.0004,
|
674 |
+
"loss": 0.6655,
|
675 |
+
"step": 860
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.17303532804614274,
|
679 |
+
"grad_norm": 0.7137865424156189,
|
680 |
+
"learning_rate": 0.0004,
|
681 |
+
"loss": 0.6849,
|
682 |
+
"step": 870
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.17502423986276508,
|
686 |
+
"grad_norm": 0.715568482875824,
|
687 |
+
"learning_rate": 0.0004,
|
688 |
+
"loss": 0.6408,
|
689 |
+
"step": 880
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.17701315167938741,
|
693 |
+
"grad_norm": 0.59111088514328,
|
694 |
+
"learning_rate": 0.0004,
|
695 |
+
"loss": 0.6772,
|
696 |
+
"step": 890
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.17900206349600975,
|
700 |
+
"grad_norm": 0.7616696357727051,
|
701 |
+
"learning_rate": 0.0004,
|
702 |
+
"loss": 0.6671,
|
703 |
+
"step": 900
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.17900206349600975,
|
707 |
+
"eval_loss": 0.084267757833004,
|
708 |
+
"eval_runtime": 30.1275,
|
709 |
+
"eval_samples_per_second": 2.689,
|
710 |
+
"eval_steps_per_second": 1.361,
|
711 |
+
"step": 900
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.18099097531263209,
|
715 |
+
"grad_norm": 0.6685693860054016,
|
716 |
+
"learning_rate": 0.0004,
|
717 |
+
"loss": 0.6792,
|
718 |
+
"step": 910
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.18297988712925442,
|
722 |
+
"grad_norm": 0.7320526838302612,
|
723 |
+
"learning_rate": 0.0004,
|
724 |
+
"loss": 0.6435,
|
725 |
+
"step": 920
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.18496879894587673,
|
729 |
+
"grad_norm": 0.6541480422019958,
|
730 |
+
"learning_rate": 0.0004,
|
731 |
+
"loss": 0.6649,
|
732 |
+
"step": 930
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.18695771076249906,
|
736 |
+
"grad_norm": 0.6433006525039673,
|
737 |
+
"learning_rate": 0.0004,
|
738 |
+
"loss": 0.6677,
|
739 |
+
"step": 940
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.1889466225791214,
|
743 |
+
"grad_norm": 0.6296941041946411,
|
744 |
+
"learning_rate": 0.0004,
|
745 |
+
"loss": 0.6334,
|
746 |
+
"step": 950
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.19093553439574373,
|
750 |
+
"grad_norm": 0.7856689691543579,
|
751 |
+
"learning_rate": 0.0004,
|
752 |
+
"loss": 0.7039,
|
753 |
+
"step": 960
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.19292444621236607,
|
757 |
+
"grad_norm": 0.6200475096702576,
|
758 |
+
"learning_rate": 0.0004,
|
759 |
+
"loss": 0.6602,
|
760 |
+
"step": 970
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.19491335802898838,
|
764 |
+
"grad_norm": 0.6970551609992981,
|
765 |
+
"learning_rate": 0.0004,
|
766 |
+
"loss": 0.6704,
|
767 |
+
"step": 980
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.1969022698456107,
|
771 |
+
"grad_norm": 0.6525449752807617,
|
772 |
+
"learning_rate": 0.0004,
|
773 |
+
"loss": 0.6721,
|
774 |
+
"step": 990
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.19889118166223305,
|
778 |
+
"grad_norm": 0.7507511377334595,
|
779 |
+
"learning_rate": 0.0004,
|
780 |
+
"loss": 0.6829,
|
781 |
+
"step": 1000
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.19889118166223305,
|
785 |
+
"eval_loss": 0.0835462287068367,
|
786 |
+
"eval_runtime": 30.0507,
|
787 |
+
"eval_samples_per_second": 2.695,
|
788 |
+
"eval_steps_per_second": 1.364,
|
789 |
+
"step": 1000
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.20088009347885538,
|
793 |
+
"grad_norm": 0.7378696203231812,
|
794 |
+
"learning_rate": 0.0004,
|
795 |
+
"loss": 0.6567,
|
796 |
+
"step": 1010
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 0.20286900529547772,
|
800 |
+
"grad_norm": 0.6451396346092224,
|
801 |
+
"learning_rate": 0.0004,
|
802 |
+
"loss": 0.6502,
|
803 |
+
"step": 1020
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.20485791711210005,
|
807 |
+
"grad_norm": 0.6342566013336182,
|
808 |
+
"learning_rate": 0.0004,
|
809 |
+
"loss": 0.6477,
|
810 |
+
"step": 1030
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 0.20684682892872236,
|
814 |
+
"grad_norm": 0.7209526896476746,
|
815 |
+
"learning_rate": 0.0004,
|
816 |
+
"loss": 0.6661,
|
817 |
+
"step": 1040
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.2088357407453447,
|
821 |
+
"grad_norm": 0.6808329820632935,
|
822 |
+
"learning_rate": 0.0004,
|
823 |
+
"loss": 0.6515,
|
824 |
+
"step": 1050
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.21082465256196703,
|
828 |
+
"grad_norm": 0.6738231182098389,
|
829 |
+
"learning_rate": 0.0004,
|
830 |
+
"loss": 0.626,
|
831 |
+
"step": 1060
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.21281356437858936,
|
835 |
+
"grad_norm": 0.6646963357925415,
|
836 |
+
"learning_rate": 0.0004,
|
837 |
+
"loss": 0.6714,
|
838 |
+
"step": 1070
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 0.2148024761952117,
|
842 |
+
"grad_norm": 0.6372888088226318,
|
843 |
+
"learning_rate": 0.0004,
|
844 |
+
"loss": 0.6768,
|
845 |
+
"step": 1080
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 0.21679138801183404,
|
849 |
+
"grad_norm": 0.7138890624046326,
|
850 |
+
"learning_rate": 0.0004,
|
851 |
+
"loss": 0.6949,
|
852 |
+
"step": 1090
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 0.21878029982845634,
|
856 |
+
"grad_norm": 0.7249679565429688,
|
857 |
+
"learning_rate": 0.0004,
|
858 |
+
"loss": 0.6928,
|
859 |
+
"step": 1100
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 0.21878029982845634,
|
863 |
+
"eval_loss": 0.08422956615686417,
|
864 |
+
"eval_runtime": 30.1032,
|
865 |
+
"eval_samples_per_second": 2.691,
|
866 |
+
"eval_steps_per_second": 1.362,
|
867 |
+
"step": 1100
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.22076921164507868,
|
871 |
+
"grad_norm": 0.6382346153259277,
|
872 |
+
"learning_rate": 0.0004,
|
873 |
+
"loss": 0.6619,
|
874 |
+
"step": 1110
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 0.222758123461701,
|
878 |
+
"grad_norm": 0.6400596499443054,
|
879 |
+
"learning_rate": 0.0004,
|
880 |
+
"loss": 0.7103,
|
881 |
+
"step": 1120
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.22474703527832335,
|
885 |
+
"grad_norm": 0.6994810700416565,
|
886 |
+
"learning_rate": 0.0004,
|
887 |
+
"loss": 0.6647,
|
888 |
+
"step": 1130
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 0.22673594709494568,
|
892 |
+
"grad_norm": 0.76835036277771,
|
893 |
+
"learning_rate": 0.0004,
|
894 |
+
"loss": 0.6923,
|
895 |
+
"step": 1140
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 0.22872485891156802,
|
899 |
+
"grad_norm": 0.6603644490242004,
|
900 |
+
"learning_rate": 0.0004,
|
901 |
+
"loss": 0.673,
|
902 |
+
"step": 1150
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.23071377072819033,
|
906 |
+
"grad_norm": 0.7264408469200134,
|
907 |
+
"learning_rate": 0.0004,
|
908 |
+
"loss": 0.6828,
|
909 |
+
"step": 1160
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.23270268254481266,
|
913 |
+
"grad_norm": 0.7072731852531433,
|
914 |
+
"learning_rate": 0.0004,
|
915 |
+
"loss": 0.6831,
|
916 |
+
"step": 1170
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 0.234691594361435,
|
920 |
+
"grad_norm": 0.6494096517562866,
|
921 |
+
"learning_rate": 0.0004,
|
922 |
+
"loss": 0.6659,
|
923 |
+
"step": 1180
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.23668050617805733,
|
927 |
+
"grad_norm": 0.6463006734848022,
|
928 |
+
"learning_rate": 0.0004,
|
929 |
+
"loss": 0.7155,
|
930 |
+
"step": 1190
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 0.23866941799467967,
|
934 |
+
"grad_norm": 0.6508920192718506,
|
935 |
+
"learning_rate": 0.0004,
|
936 |
+
"loss": 0.6563,
|
937 |
+
"step": 1200
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 0.23866941799467967,
|
941 |
+
"eval_loss": 0.08387701213359833,
|
942 |
+
"eval_runtime": 30.0299,
|
943 |
+
"eval_samples_per_second": 2.697,
|
944 |
+
"eval_steps_per_second": 1.365,
|
945 |
+
"step": 1200
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.240658329811302,
|
949 |
+
"grad_norm": 0.6701735258102417,
|
950 |
+
"learning_rate": 0.0004,
|
951 |
+
"loss": 0.6765,
|
952 |
+
"step": 1210
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 0.2426472416279243,
|
956 |
+
"grad_norm": 0.5798119902610779,
|
957 |
+
"learning_rate": 0.0004,
|
958 |
+
"loss": 0.6501,
|
959 |
+
"step": 1220
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 0.24463615344454664,
|
963 |
+
"grad_norm": 0.7210298776626587,
|
964 |
+
"learning_rate": 0.0004,
|
965 |
+
"loss": 0.6576,
|
966 |
+
"step": 1230
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 0.24662506526116898,
|
970 |
+
"grad_norm": 0.7448759078979492,
|
971 |
+
"learning_rate": 0.0004,
|
972 |
+
"loss": 0.6918,
|
973 |
+
"step": 1240
|
974 |
+
},
|
975 |
+
{
|
976 |
+
"epoch": 0.24861397707779131,
|
977 |
+
"grad_norm": 0.6556337475776672,
|
978 |
+
"learning_rate": 0.0004,
|
979 |
+
"loss": 0.6526,
|
980 |
+
"step": 1250
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.2506028888944136,
|
984 |
+
"grad_norm": 0.6584301590919495,
|
985 |
+
"learning_rate": 0.0004,
|
986 |
+
"loss": 0.6736,
|
987 |
+
"step": 1260
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.252591800711036,
|
991 |
+
"grad_norm": 0.6725241541862488,
|
992 |
+
"learning_rate": 0.0004,
|
993 |
+
"loss": 0.6772,
|
994 |
+
"step": 1270
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 0.2545807125276583,
|
998 |
+
"grad_norm": 0.7188987731933594,
|
999 |
+
"learning_rate": 0.0004,
|
1000 |
+
"loss": 0.6629,
|
1001 |
+
"step": 1280
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 0.25656962434428066,
|
1005 |
+
"grad_norm": 0.8247680068016052,
|
1006 |
+
"learning_rate": 0.0004,
|
1007 |
+
"loss": 0.6844,
|
1008 |
+
"step": 1290
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 0.25855853616090296,
|
1012 |
+
"grad_norm": 0.6960418224334717,
|
1013 |
+
"learning_rate": 0.0004,
|
1014 |
+
"loss": 0.6411,
|
1015 |
+
"step": 1300
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 0.25855853616090296,
|
1019 |
+
"eval_loss": 0.0839666873216629,
|
1020 |
+
"eval_runtime": 30.0597,
|
1021 |
+
"eval_samples_per_second": 2.695,
|
1022 |
+
"eval_steps_per_second": 1.364,
|
1023 |
+
"step": 1300
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.26054744797752527,
|
1027 |
+
"grad_norm": 0.6796591877937317,
|
1028 |
+
"learning_rate": 0.0004,
|
1029 |
+
"loss": 0.6707,
|
1030 |
+
"step": 1310
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 0.26253635979414763,
|
1034 |
+
"grad_norm": 0.6542907357215881,
|
1035 |
+
"learning_rate": 0.0004,
|
1036 |
+
"loss": 0.6691,
|
1037 |
+
"step": 1320
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.26452527161076994,
|
1041 |
+
"grad_norm": 0.6826708912849426,
|
1042 |
+
"learning_rate": 0.0004,
|
1043 |
+
"loss": 0.6696,
|
1044 |
+
"step": 1330
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.2665141834273923,
|
1048 |
+
"grad_norm": 0.7088764905929565,
|
1049 |
+
"learning_rate": 0.0004,
|
1050 |
+
"loss": 0.6817,
|
1051 |
+
"step": 1340
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.2685030952440146,
|
1055 |
+
"grad_norm": 0.7242617607116699,
|
1056 |
+
"learning_rate": 0.0004,
|
1057 |
+
"loss": 0.6759,
|
1058 |
+
"step": 1350
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.270492007060637,
|
1062 |
+
"grad_norm": 0.7008711099624634,
|
1063 |
+
"learning_rate": 0.0004,
|
1064 |
+
"loss": 0.6592,
|
1065 |
+
"step": 1360
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.2724809188772593,
|
1069 |
+
"grad_norm": 0.6489241719245911,
|
1070 |
+
"learning_rate": 0.0004,
|
1071 |
+
"loss": 0.6637,
|
1072 |
+
"step": 1370
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 0.2744698306938816,
|
1076 |
+
"grad_norm": 0.7217922806739807,
|
1077 |
+
"learning_rate": 0.0004,
|
1078 |
+
"loss": 0.6539,
|
1079 |
+
"step": 1380
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.27645874251050395,
|
1083 |
+
"grad_norm": 0.8037365078926086,
|
1084 |
+
"learning_rate": 0.0004,
|
1085 |
+
"loss": 0.6994,
|
1086 |
+
"step": 1390
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 0.27844765432712626,
|
1090 |
+
"grad_norm": 0.659654974937439,
|
1091 |
+
"learning_rate": 0.0004,
|
1092 |
+
"loss": 0.6673,
|
1093 |
+
"step": 1400
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.27844765432712626,
|
1097 |
+
"eval_loss": 0.0840681791305542,
|
1098 |
+
"eval_runtime": 30.0353,
|
1099 |
+
"eval_samples_per_second": 2.697,
|
1100 |
+
"eval_steps_per_second": 1.365,
|
1101 |
+
"step": 1400
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.2804365661437486,
|
1105 |
+
"grad_norm": 0.7238272428512573,
|
1106 |
+
"learning_rate": 0.0004,
|
1107 |
+
"loss": 0.6974,
|
1108 |
+
"step": 1410
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.28242547796037093,
|
1112 |
+
"grad_norm": 0.6564947366714478,
|
1113 |
+
"learning_rate": 0.0004,
|
1114 |
+
"loss": 0.6687,
|
1115 |
+
"step": 1420
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.28441438977699324,
|
1119 |
+
"grad_norm": 0.7392669916152954,
|
1120 |
+
"learning_rate": 0.0004,
|
1121 |
+
"loss": 0.6546,
|
1122 |
+
"step": 1430
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.2864033015936156,
|
1126 |
+
"grad_norm": 0.7504440546035767,
|
1127 |
+
"learning_rate": 0.0004,
|
1128 |
+
"loss": 0.6737,
|
1129 |
+
"step": 1440
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.2883922134102379,
|
1133 |
+
"grad_norm": 0.7336270213127136,
|
1134 |
+
"learning_rate": 0.0004,
|
1135 |
+
"loss": 0.6803,
|
1136 |
+
"step": 1450
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.29038112522686027,
|
1140 |
+
"grad_norm": 1.862186312675476,
|
1141 |
+
"learning_rate": 0.0004,
|
1142 |
+
"loss": 0.658,
|
1143 |
+
"step": 1460
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.2923700370434826,
|
1147 |
+
"grad_norm": 0.7425276637077332,
|
1148 |
+
"learning_rate": 0.0004,
|
1149 |
+
"loss": 0.6383,
|
1150 |
+
"step": 1470
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.29435894886010494,
|
1154 |
+
"grad_norm": 0.6604830622673035,
|
1155 |
+
"learning_rate": 0.0004,
|
1156 |
+
"loss": 0.7077,
|
1157 |
+
"step": 1480
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.29634786067672725,
|
1161 |
+
"grad_norm": 0.7673712968826294,
|
1162 |
+
"learning_rate": 0.0004,
|
1163 |
+
"loss": 0.6722,
|
1164 |
+
"step": 1490
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.29833677249334956,
|
1168 |
+
"grad_norm": 0.7889634370803833,
|
1169 |
+
"learning_rate": 0.0004,
|
1170 |
+
"loss": 0.6909,
|
1171 |
+
"step": 1500
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.29833677249334956,
|
1175 |
+
"eval_loss": 0.08427305519580841,
|
1176 |
+
"eval_runtime": 30.0826,
|
1177 |
+
"eval_samples_per_second": 2.693,
|
1178 |
+
"eval_steps_per_second": 1.363,
|
1179 |
+
"step": 1500
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.3003256843099719,
|
1183 |
+
"grad_norm": 0.8077505826950073,
|
1184 |
+
"learning_rate": 0.0004,
|
1185 |
+
"loss": 0.6976,
|
1186 |
+
"step": 1510
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.3023145961265942,
|
1190 |
+
"grad_norm": 0.6837480068206787,
|
1191 |
+
"learning_rate": 0.0004,
|
1192 |
+
"loss": 0.675,
|
1193 |
+
"step": 1520
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.3043035079432166,
|
1197 |
+
"grad_norm": 0.6629063487052917,
|
1198 |
+
"learning_rate": 0.0004,
|
1199 |
+
"loss": 0.6396,
|
1200 |
+
"step": 1530
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.3062924197598389,
|
1204 |
+
"grad_norm": 0.7187213897705078,
|
1205 |
+
"learning_rate": 0.0004,
|
1206 |
+
"loss": 0.6898,
|
1207 |
+
"step": 1540
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.3082813315764612,
|
1211 |
+
"grad_norm": 0.7269571423530579,
|
1212 |
+
"learning_rate": 0.0004,
|
1213 |
+
"loss": 0.7106,
|
1214 |
+
"step": 1550
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.31027024339308357,
|
1218 |
+
"grad_norm": 0.6767787337303162,
|
1219 |
+
"learning_rate": 0.0004,
|
1220 |
+
"loss": 0.6836,
|
1221 |
+
"step": 1560
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.3122591552097059,
|
1225 |
+
"grad_norm": 0.7046016454696655,
|
1226 |
+
"learning_rate": 0.0004,
|
1227 |
+
"loss": 0.7129,
|
1228 |
+
"step": 1570
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 0.31424806702632824,
|
1232 |
+
"grad_norm": 0.6218843460083008,
|
1233 |
+
"learning_rate": 0.0004,
|
1234 |
+
"loss": 0.7129,
|
1235 |
+
"step": 1580
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.31623697884295054,
|
1239 |
+
"grad_norm": 0.7410914897918701,
|
1240 |
+
"learning_rate": 0.0004,
|
1241 |
+
"loss": 0.6616,
|
1242 |
+
"step": 1590
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.3182258906595729,
|
1246 |
+
"grad_norm": 0.5945529937744141,
|
1247 |
+
"learning_rate": 0.0004,
|
1248 |
+
"loss": 0.6878,
|
1249 |
+
"step": 1600
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.3182258906595729,
|
1253 |
+
"eval_loss": 0.08433911204338074,
|
1254 |
+
"eval_runtime": 30.0269,
|
1255 |
+
"eval_samples_per_second": 2.698,
|
1256 |
+
"eval_steps_per_second": 1.365,
|
1257 |
+
"step": 1600
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.3202148024761952,
|
1261 |
+
"grad_norm": 0.6479379534721375,
|
1262 |
+
"learning_rate": 4e-05,
|
1263 |
+
"loss": 0.6708,
|
1264 |
+
"step": 1610
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 0.3222037142928175,
|
1268 |
+
"grad_norm": 0.6011672616004944,
|
1269 |
+
"learning_rate": 4e-05,
|
1270 |
+
"loss": 0.6511,
|
1271 |
+
"step": 1620
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 0.3241926261094399,
|
1275 |
+
"grad_norm": 0.6457736492156982,
|
1276 |
+
"learning_rate": 4e-05,
|
1277 |
+
"loss": 0.6601,
|
1278 |
+
"step": 1630
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 0.3261815379260622,
|
1282 |
+
"grad_norm": 0.6549608707427979,
|
1283 |
+
"learning_rate": 4e-05,
|
1284 |
+
"loss": 0.6643,
|
1285 |
+
"step": 1640
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 0.32817044974268456,
|
1289 |
+
"grad_norm": 0.6869723200798035,
|
1290 |
+
"learning_rate": 4e-05,
|
1291 |
+
"loss": 0.6766,
|
1292 |
+
"step": 1650
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 0.33015936155930686,
|
1296 |
+
"grad_norm": 0.6526493430137634,
|
1297 |
+
"learning_rate": 4e-05,
|
1298 |
+
"loss": 0.6625,
|
1299 |
+
"step": 1660
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.33214827337592917,
|
1303 |
+
"grad_norm": 0.6106629967689514,
|
1304 |
+
"learning_rate": 4e-05,
|
1305 |
+
"loss": 0.6412,
|
1306 |
+
"step": 1670
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 0.33413718519255153,
|
1310 |
+
"grad_norm": 0.6620826125144958,
|
1311 |
+
"learning_rate": 4e-05,
|
1312 |
+
"loss": 0.6314,
|
1313 |
+
"step": 1680
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.33612609700917384,
|
1317 |
+
"grad_norm": 0.6487278938293457,
|
1318 |
+
"learning_rate": 4e-05,
|
1319 |
+
"loss": 0.643,
|
1320 |
+
"step": 1690
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 0.3381150088257962,
|
1324 |
+
"grad_norm": 0.7703284621238708,
|
1325 |
+
"learning_rate": 4e-05,
|
1326 |
+
"loss": 0.6298,
|
1327 |
+
"step": 1700
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"epoch": 0.3381150088257962,
|
1331 |
+
"eval_loss": 0.08053209632635117,
|
1332 |
+
"eval_runtime": 30.0784,
|
1333 |
+
"eval_samples_per_second": 2.693,
|
1334 |
+
"eval_steps_per_second": 1.363,
|
1335 |
+
"step": 1700
|
1336 |
+
}
|
1337 |
+
],
|
1338 |
+
"logging_steps": 10,
|
1339 |
+
"max_steps": 10000,
|
1340 |
+
"num_input_tokens_seen": 0,
|
1341 |
+
"num_train_epochs": 2,
|
1342 |
+
"save_steps": 100,
|
1343 |
+
"stateful_callbacks": {
|
1344 |
+
"TrainerControl": {
|
1345 |
+
"args": {
|
1346 |
+
"should_epoch_stop": false,
|
1347 |
+
"should_evaluate": false,
|
1348 |
+
"should_log": false,
|
1349 |
+
"should_save": true,
|
1350 |
+
"should_training_stop": false
|
1351 |
+
},
|
1352 |
+
"attributes": {}
|
1353 |
+
}
|
1354 |
+
},
|
1355 |
+
"total_flos": 1.460398769660756e+18,
|
1356 |
+
"train_batch_size": 2,
|
1357 |
+
"trial_name": null,
|
1358 |
+
"trial_params": null
|
1359 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:14a8bdead2dfcd61275615e9f65facc545f9e35cb810202e1131816f9357b94d
|
3 |
+
size 5432
|