faridlazuarda
commited on
Commit
•
adc1f96
1
Parent(s):
3ad0c61
Replace with latest checkpoint files
Browse files- README.md +202 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- trainer_state.json +495 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: meta-llama/Llama-2-7b-chat-hf
|
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 0.10.0
|
adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
|
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": 0.1,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"q_proj",
|
24 |
+
"v_proj"
|
25 |
+
],
|
26 |
+
"task_type": "CAUSAL_LM",
|
27 |
+
"use_dora": false,
|
28 |
+
"use_rslora": false
|
29 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8de3f1be2e5f3bb63f887bc15afd2e35c8a588cd1428dacf5c050967661ea37c
|
3 |
+
size 134235048
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:82470981f31f4b5a9ec41678bf7cb32f73451c7d7c7396dd0188b6d11d2aa632
|
3 |
+
size 268515002
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15589cf30ca7a5c8e075e9c35e80db4888afbfcecc022fac8b63ce686b1f9b8f
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:63eb06e12174e4b2f92f6537cab5ba2dff7b98defaece3a64b5c306232cb8bfc
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
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 sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
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 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": false,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"padding_side": "right",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,495 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 6.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 16506,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.09087604507451835,
|
13 |
+
"grad_norm": 0.4355389475822449,
|
14 |
+
"learning_rate": 0.0002,
|
15 |
+
"loss": 0.8037,
|
16 |
+
"step": 250
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.1817520901490367,
|
20 |
+
"grad_norm": 0.3333398103713989,
|
21 |
+
"learning_rate": 0.0002,
|
22 |
+
"loss": 0.472,
|
23 |
+
"step": 500
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.27262813522355506,
|
27 |
+
"grad_norm": 0.4328073561191559,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 0.3581,
|
30 |
+
"step": 750
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.3635041802980734,
|
34 |
+
"grad_norm": 0.5728178024291992,
|
35 |
+
"learning_rate": 0.0002,
|
36 |
+
"loss": 0.29,
|
37 |
+
"step": 1000
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.45438022537259176,
|
41 |
+
"grad_norm": 0.7130202054977417,
|
42 |
+
"learning_rate": 0.0002,
|
43 |
+
"loss": 0.2542,
|
44 |
+
"step": 1250
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.5452562704471101,
|
48 |
+
"grad_norm": 0.4695929288864136,
|
49 |
+
"learning_rate": 0.0002,
|
50 |
+
"loss": 0.2186,
|
51 |
+
"step": 1500
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.6361323155216285,
|
55 |
+
"grad_norm": 0.5198377966880798,
|
56 |
+
"learning_rate": 0.0002,
|
57 |
+
"loss": 0.2042,
|
58 |
+
"step": 1750
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.7270083605961468,
|
62 |
+
"grad_norm": 0.4845351278781891,
|
63 |
+
"learning_rate": 0.0002,
|
64 |
+
"loss": 0.1857,
|
65 |
+
"step": 2000
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.8178844056706652,
|
69 |
+
"grad_norm": 0.3002346456050873,
|
70 |
+
"learning_rate": 0.0002,
|
71 |
+
"loss": 0.1727,
|
72 |
+
"step": 2250
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.9087604507451835,
|
76 |
+
"grad_norm": 0.3961799740791321,
|
77 |
+
"learning_rate": 0.0002,
|
78 |
+
"loss": 0.1647,
|
79 |
+
"step": 2500
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.9996364958197019,
|
83 |
+
"grad_norm": 0.19754305481910706,
|
84 |
+
"learning_rate": 0.0002,
|
85 |
+
"loss": 0.1561,
|
86 |
+
"step": 2750
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.0905125408942202,
|
90 |
+
"grad_norm": 0.4301386773586273,
|
91 |
+
"learning_rate": 0.0002,
|
92 |
+
"loss": 0.1478,
|
93 |
+
"step": 3000
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.1813885859687385,
|
97 |
+
"grad_norm": 0.33132612705230713,
|
98 |
+
"learning_rate": 0.0002,
|
99 |
+
"loss": 0.1451,
|
100 |
+
"step": 3250
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 1.272264631043257,
|
104 |
+
"grad_norm": 0.2488761842250824,
|
105 |
+
"learning_rate": 0.0002,
|
106 |
+
"loss": 0.1445,
|
107 |
+
"step": 3500
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.3631406761177753,
|
111 |
+
"grad_norm": 0.16658537089824677,
|
112 |
+
"learning_rate": 0.0002,
|
113 |
+
"loss": 0.1403,
|
114 |
+
"step": 3750
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 1.4540167211922936,
|
118 |
+
"grad_norm": 0.1872565895318985,
|
119 |
+
"learning_rate": 0.0002,
|
120 |
+
"loss": 0.1365,
|
121 |
+
"step": 4000
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 1.5448927662668122,
|
125 |
+
"grad_norm": 0.1460885852575302,
|
126 |
+
"learning_rate": 0.0002,
|
127 |
+
"loss": 0.1344,
|
128 |
+
"step": 4250
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.6357688113413305,
|
132 |
+
"grad_norm": 0.35161587595939636,
|
133 |
+
"learning_rate": 0.0002,
|
134 |
+
"loss": 0.134,
|
135 |
+
"step": 4500
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.7266448564158487,
|
139 |
+
"grad_norm": 0.2876887917518616,
|
140 |
+
"learning_rate": 0.0002,
|
141 |
+
"loss": 0.1332,
|
142 |
+
"step": 4750
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 1.8175209014903673,
|
146 |
+
"grad_norm": 0.18391716480255127,
|
147 |
+
"learning_rate": 0.0002,
|
148 |
+
"loss": 0.1312,
|
149 |
+
"step": 5000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.9083969465648853,
|
153 |
+
"grad_norm": 0.18932031095027924,
|
154 |
+
"learning_rate": 0.0002,
|
155 |
+
"loss": 0.1306,
|
156 |
+
"step": 5250
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.9992729916394039,
|
160 |
+
"grad_norm": 0.2454090714454651,
|
161 |
+
"learning_rate": 0.0002,
|
162 |
+
"loss": 0.1291,
|
163 |
+
"step": 5500
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 2.0901490367139224,
|
167 |
+
"grad_norm": 0.15890659391880035,
|
168 |
+
"learning_rate": 0.0002,
|
169 |
+
"loss": 0.1241,
|
170 |
+
"step": 5750
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.1810250817884405,
|
174 |
+
"grad_norm": 0.13456985354423523,
|
175 |
+
"learning_rate": 0.0002,
|
176 |
+
"loss": 0.1255,
|
177 |
+
"step": 6000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.271901126862959,
|
181 |
+
"grad_norm": 0.18098081648349762,
|
182 |
+
"learning_rate": 0.0002,
|
183 |
+
"loss": 0.1249,
|
184 |
+
"step": 6250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 2.362777171937477,
|
188 |
+
"grad_norm": 0.21501798927783966,
|
189 |
+
"learning_rate": 0.0002,
|
190 |
+
"loss": 0.1272,
|
191 |
+
"step": 6500
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 2.4536532170119956,
|
195 |
+
"grad_norm": 0.10344691574573517,
|
196 |
+
"learning_rate": 0.0002,
|
197 |
+
"loss": 0.1266,
|
198 |
+
"step": 6750
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 2.544529262086514,
|
202 |
+
"grad_norm": 0.16723701357841492,
|
203 |
+
"learning_rate": 0.0002,
|
204 |
+
"loss": 0.1265,
|
205 |
+
"step": 7000
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 2.635405307161032,
|
209 |
+
"grad_norm": 0.15142661333084106,
|
210 |
+
"learning_rate": 0.0002,
|
211 |
+
"loss": 0.1253,
|
212 |
+
"step": 7250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.7262813522355507,
|
216 |
+
"grad_norm": 0.18276916444301605,
|
217 |
+
"learning_rate": 0.0002,
|
218 |
+
"loss": 0.1247,
|
219 |
+
"step": 7500
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 2.817157397310069,
|
223 |
+
"grad_norm": 0.10605284571647644,
|
224 |
+
"learning_rate": 0.0002,
|
225 |
+
"loss": 0.125,
|
226 |
+
"step": 7750
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 2.9080334423845873,
|
230 |
+
"grad_norm": 0.13421468436717987,
|
231 |
+
"learning_rate": 0.0002,
|
232 |
+
"loss": 0.1235,
|
233 |
+
"step": 8000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 2.998909487459106,
|
237 |
+
"grad_norm": 0.117579385638237,
|
238 |
+
"learning_rate": 0.0002,
|
239 |
+
"loss": 0.1216,
|
240 |
+
"step": 8250
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 3.0897855325336243,
|
244 |
+
"grad_norm": 0.09406478703022003,
|
245 |
+
"learning_rate": 0.0002,
|
246 |
+
"loss": 0.1208,
|
247 |
+
"step": 8500
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 3.1806615776081424,
|
251 |
+
"grad_norm": 0.13346560299396515,
|
252 |
+
"learning_rate": 0.0002,
|
253 |
+
"loss": 0.1211,
|
254 |
+
"step": 8750
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.271537622682661,
|
258 |
+
"grad_norm": 0.2320273071527481,
|
259 |
+
"learning_rate": 0.0002,
|
260 |
+
"loss": 0.1199,
|
261 |
+
"step": 9000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 3.3624136677571794,
|
265 |
+
"grad_norm": 0.1322121024131775,
|
266 |
+
"learning_rate": 0.0002,
|
267 |
+
"loss": 0.1206,
|
268 |
+
"step": 9250
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 3.4532897128316975,
|
272 |
+
"grad_norm": 0.12291130423545837,
|
273 |
+
"learning_rate": 0.0002,
|
274 |
+
"loss": 0.1203,
|
275 |
+
"step": 9500
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 3.544165757906216,
|
279 |
+
"grad_norm": 0.1050431877374649,
|
280 |
+
"learning_rate": 0.0002,
|
281 |
+
"loss": 0.1206,
|
282 |
+
"step": 9750
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 3.6350418029807345,
|
286 |
+
"grad_norm": 0.10830684006214142,
|
287 |
+
"learning_rate": 0.0002,
|
288 |
+
"loss": 0.1204,
|
289 |
+
"step": 10000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 3.7259178480552526,
|
293 |
+
"grad_norm": 0.16537795960903168,
|
294 |
+
"learning_rate": 0.0002,
|
295 |
+
"loss": 0.1214,
|
296 |
+
"step": 10250
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.816793893129771,
|
300 |
+
"grad_norm": 0.13683146238327026,
|
301 |
+
"learning_rate": 0.0002,
|
302 |
+
"loss": 0.1231,
|
303 |
+
"step": 10500
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 3.907669938204289,
|
307 |
+
"grad_norm": 0.10453382879495621,
|
308 |
+
"learning_rate": 0.0002,
|
309 |
+
"loss": 0.1193,
|
310 |
+
"step": 10750
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 3.9985459832788077,
|
314 |
+
"grad_norm": 0.08612716197967529,
|
315 |
+
"learning_rate": 0.0002,
|
316 |
+
"loss": 0.1191,
|
317 |
+
"step": 11000
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 4.089422028353326,
|
321 |
+
"grad_norm": 0.08494025468826294,
|
322 |
+
"learning_rate": 0.0002,
|
323 |
+
"loss": 0.1171,
|
324 |
+
"step": 11250
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 4.180298073427845,
|
328 |
+
"grad_norm": 0.05780186131596565,
|
329 |
+
"learning_rate": 0.0002,
|
330 |
+
"loss": 0.1172,
|
331 |
+
"step": 11500
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 4.271174118502363,
|
335 |
+
"grad_norm": 0.10587610304355621,
|
336 |
+
"learning_rate": 0.0002,
|
337 |
+
"loss": 0.1189,
|
338 |
+
"step": 11750
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 4.362050163576881,
|
342 |
+
"grad_norm": 0.09237153828144073,
|
343 |
+
"learning_rate": 0.0002,
|
344 |
+
"loss": 0.1178,
|
345 |
+
"step": 12000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 4.4529262086514,
|
349 |
+
"grad_norm": 0.22916856408119202,
|
350 |
+
"learning_rate": 0.0002,
|
351 |
+
"loss": 0.1191,
|
352 |
+
"step": 12250
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 4.543802253725918,
|
356 |
+
"grad_norm": 0.12149995565414429,
|
357 |
+
"learning_rate": 0.0002,
|
358 |
+
"loss": 0.118,
|
359 |
+
"step": 12500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 4.634678298800436,
|
363 |
+
"grad_norm": 0.10446422547101974,
|
364 |
+
"learning_rate": 0.0002,
|
365 |
+
"loss": 0.1187,
|
366 |
+
"step": 12750
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 4.725554343874954,
|
370 |
+
"grad_norm": 0.09491357207298279,
|
371 |
+
"learning_rate": 0.0002,
|
372 |
+
"loss": 0.1181,
|
373 |
+
"step": 13000
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 4.816430388949473,
|
377 |
+
"grad_norm": 0.15105749666690826,
|
378 |
+
"learning_rate": 0.0002,
|
379 |
+
"loss": 0.1192,
|
380 |
+
"step": 13250
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 4.907306434023991,
|
384 |
+
"grad_norm": 0.11921977251768112,
|
385 |
+
"learning_rate": 0.0002,
|
386 |
+
"loss": 0.1168,
|
387 |
+
"step": 13500
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 4.99818247909851,
|
391 |
+
"grad_norm": 0.07625231146812439,
|
392 |
+
"learning_rate": 0.0002,
|
393 |
+
"loss": 0.1172,
|
394 |
+
"step": 13750
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 5.089058524173028,
|
398 |
+
"grad_norm": 0.09381510317325592,
|
399 |
+
"learning_rate": 0.0002,
|
400 |
+
"loss": 0.1151,
|
401 |
+
"step": 14000
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 5.179934569247546,
|
405 |
+
"grad_norm": 0.08833180367946625,
|
406 |
+
"learning_rate": 0.0002,
|
407 |
+
"loss": 0.1156,
|
408 |
+
"step": 14250
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 5.270810614322064,
|
412 |
+
"grad_norm": 0.08934313803911209,
|
413 |
+
"learning_rate": 0.0002,
|
414 |
+
"loss": 0.1164,
|
415 |
+
"step": 14500
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 5.361686659396583,
|
419 |
+
"grad_norm": 0.08423677831888199,
|
420 |
+
"learning_rate": 0.0002,
|
421 |
+
"loss": 0.1162,
|
422 |
+
"step": 14750
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5.452562704471101,
|
426 |
+
"grad_norm": 0.08956829458475113,
|
427 |
+
"learning_rate": 0.0002,
|
428 |
+
"loss": 0.1147,
|
429 |
+
"step": 15000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 5.543438749545619,
|
433 |
+
"grad_norm": 0.07213614135980606,
|
434 |
+
"learning_rate": 0.0002,
|
435 |
+
"loss": 0.1166,
|
436 |
+
"step": 15250
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 5.634314794620138,
|
440 |
+
"grad_norm": 0.24475565552711487,
|
441 |
+
"learning_rate": 0.0002,
|
442 |
+
"loss": 0.1172,
|
443 |
+
"step": 15500
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 5.7251908396946565,
|
447 |
+
"grad_norm": 0.10199423879384995,
|
448 |
+
"learning_rate": 0.0002,
|
449 |
+
"loss": 0.1171,
|
450 |
+
"step": 15750
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 5.8160668847691745,
|
454 |
+
"grad_norm": 0.2594470679759979,
|
455 |
+
"learning_rate": 0.0002,
|
456 |
+
"loss": 0.1165,
|
457 |
+
"step": 16000
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 5.9069429298436935,
|
461 |
+
"grad_norm": 0.08738715201616287,
|
462 |
+
"learning_rate": 0.0002,
|
463 |
+
"loss": 0.115,
|
464 |
+
"step": 16250
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 5.997818974918212,
|
468 |
+
"grad_norm": 0.07172822952270508,
|
469 |
+
"learning_rate": 0.0002,
|
470 |
+
"loss": 0.1153,
|
471 |
+
"step": 16500
|
472 |
+
}
|
473 |
+
],
|
474 |
+
"logging_steps": 250,
|
475 |
+
"max_steps": 16506,
|
476 |
+
"num_input_tokens_seen": 0,
|
477 |
+
"num_train_epochs": 6,
|
478 |
+
"save_steps": 250,
|
479 |
+
"stateful_callbacks": {
|
480 |
+
"TrainerControl": {
|
481 |
+
"args": {
|
482 |
+
"should_epoch_stop": false,
|
483 |
+
"should_evaluate": false,
|
484 |
+
"should_log": false,
|
485 |
+
"should_save": true,
|
486 |
+
"should_training_stop": true
|
487 |
+
},
|
488 |
+
"attributes": {}
|
489 |
+
}
|
490 |
+
},
|
491 |
+
"total_flos": 2.0312668928252314e+17,
|
492 |
+
"train_batch_size": 4,
|
493 |
+
"trial_name": null,
|
494 |
+
"trial_params": null
|
495 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:19d7890501ac6ba97440c314d04b996476238020044144d05b2508cfae53e9ec
|
3 |
+
size 5688
|