thucdangvan020999
commited on
Commit
•
205a2d4
1
Parent(s):
77c25e2
Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +35 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +408 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: thucdangvan020999/qwen2_pruned14_cosine
|
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 0.13.2
|
adapter_config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "thucdangvan020999/qwen2_pruned14_cosine",
|
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": 32,
|
14 |
+
"lora_dropout": 0.05,
|
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 |
+
"gate_proj",
|
24 |
+
"k_proj",
|
25 |
+
"lm_head",
|
26 |
+
"v_proj",
|
27 |
+
"o_proj",
|
28 |
+
"q_proj",
|
29 |
+
"down_proj",
|
30 |
+
"up_proj"
|
31 |
+
],
|
32 |
+
"task_type": "CAUSAL_LM",
|
33 |
+
"use_dora": false,
|
34 |
+
"use_rslora": false
|
35 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:58fff81020d2a21b9d2ed0b7185e55ac1f1008102474a84389bbda88f4e9cd1f
|
3 |
+
size 2225367416
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c09501333281ec7ebc9af2c07dd45004256c4e7095b4b6c07b01f61ce062f9e5
|
3 |
+
size 23264890
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:565a95984ddf6387894ac4301c74f08ad545d7eeb87b5f68e94bbc6192effc6f
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a918d281b0abb653538e3ad48219237d3e088ca744ffa6572595a0bb59b98300
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,408 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.2650056625141564,
|
5 |
+
"eval_steps": 20,
|
6 |
+
"global_step": 500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.09060022650056625,
|
13 |
+
"grad_norm": 4.824601173400879,
|
14 |
+
"learning_rate": 1.9393939393939395e-05,
|
15 |
+
"loss": 6.3414,
|
16 |
+
"step": 20
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09060022650056625,
|
20 |
+
"eval_loss": 5.462944984436035,
|
21 |
+
"eval_runtime": 169.7392,
|
22 |
+
"eval_samples_per_second": 2.327,
|
23 |
+
"eval_steps_per_second": 0.583,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.1812004530011325,
|
28 |
+
"grad_norm": 3.5273354053497314,
|
29 |
+
"learning_rate": 1.8585858585858588e-05,
|
30 |
+
"loss": 4.9204,
|
31 |
+
"step": 40
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.1812004530011325,
|
35 |
+
"eval_loss": 4.40663480758667,
|
36 |
+
"eval_runtime": 169.7659,
|
37 |
+
"eval_samples_per_second": 2.327,
|
38 |
+
"eval_steps_per_second": 0.583,
|
39 |
+
"step": 40
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.2718006795016987,
|
43 |
+
"grad_norm": 2.5483546257019043,
|
44 |
+
"learning_rate": 1.7777777777777777e-05,
|
45 |
+
"loss": 4.0241,
|
46 |
+
"step": 60
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.2718006795016987,
|
50 |
+
"eval_loss": 3.6545450687408447,
|
51 |
+
"eval_runtime": 169.7082,
|
52 |
+
"eval_samples_per_second": 2.328,
|
53 |
+
"eval_steps_per_second": 0.583,
|
54 |
+
"step": 60
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.362400906002265,
|
58 |
+
"grad_norm": 1.4762500524520874,
|
59 |
+
"learning_rate": 1.6969696969696972e-05,
|
60 |
+
"loss": 3.4114,
|
61 |
+
"step": 80
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.362400906002265,
|
65 |
+
"eval_loss": 3.1997323036193848,
|
66 |
+
"eval_runtime": 169.459,
|
67 |
+
"eval_samples_per_second": 2.331,
|
68 |
+
"eval_steps_per_second": 0.584,
|
69 |
+
"step": 80
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.45300113250283125,
|
73 |
+
"grad_norm": 1.2465909719467163,
|
74 |
+
"learning_rate": 1.616161616161616e-05,
|
75 |
+
"loss": 3.0527,
|
76 |
+
"step": 100
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.45300113250283125,
|
80 |
+
"eval_loss": 2.9332973957061768,
|
81 |
+
"eval_runtime": 169.4702,
|
82 |
+
"eval_samples_per_second": 2.331,
|
83 |
+
"eval_steps_per_second": 0.584,
|
84 |
+
"step": 100
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.5436013590033975,
|
88 |
+
"grad_norm": 1.2837079763412476,
|
89 |
+
"learning_rate": 1.5353535353535354e-05,
|
90 |
+
"loss": 2.8401,
|
91 |
+
"step": 120
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.5436013590033975,
|
95 |
+
"eval_loss": 2.765261173248291,
|
96 |
+
"eval_runtime": 169.5654,
|
97 |
+
"eval_samples_per_second": 2.329,
|
98 |
+
"eval_steps_per_second": 0.584,
|
99 |
+
"step": 120
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.6342015855039638,
|
103 |
+
"grad_norm": 1.069353699684143,
|
104 |
+
"learning_rate": 1.4545454545454546e-05,
|
105 |
+
"loss": 2.7202,
|
106 |
+
"step": 140
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.6342015855039638,
|
110 |
+
"eval_loss": 2.654095411300659,
|
111 |
+
"eval_runtime": 169.5632,
|
112 |
+
"eval_samples_per_second": 2.33,
|
113 |
+
"eval_steps_per_second": 0.584,
|
114 |
+
"step": 140
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.72480181200453,
|
118 |
+
"grad_norm": 1.0665814876556396,
|
119 |
+
"learning_rate": 1.3737373737373739e-05,
|
120 |
+
"loss": 2.605,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.72480181200453,
|
125 |
+
"eval_loss": 2.576014995574951,
|
126 |
+
"eval_runtime": 169.9075,
|
127 |
+
"eval_samples_per_second": 2.325,
|
128 |
+
"eval_steps_per_second": 0.583,
|
129 |
+
"step": 160
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.8154020385050963,
|
133 |
+
"grad_norm": 1.076709508895874,
|
134 |
+
"learning_rate": 1.2929292929292931e-05,
|
135 |
+
"loss": 2.5533,
|
136 |
+
"step": 180
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.8154020385050963,
|
140 |
+
"eval_loss": 2.519667148590088,
|
141 |
+
"eval_runtime": 169.6071,
|
142 |
+
"eval_samples_per_second": 2.329,
|
143 |
+
"eval_steps_per_second": 0.584,
|
144 |
+
"step": 180
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.9060022650056625,
|
148 |
+
"grad_norm": 1.0686030387878418,
|
149 |
+
"learning_rate": 1.2121212121212122e-05,
|
150 |
+
"loss": 2.5004,
|
151 |
+
"step": 200
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.9060022650056625,
|
155 |
+
"eval_loss": 2.4773340225219727,
|
156 |
+
"eval_runtime": 169.6567,
|
157 |
+
"eval_samples_per_second": 2.328,
|
158 |
+
"eval_steps_per_second": 0.584,
|
159 |
+
"step": 200
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.9966024915062288,
|
163 |
+
"grad_norm": 1.1253015995025635,
|
164 |
+
"learning_rate": 1.1313131313131314e-05,
|
165 |
+
"loss": 2.4613,
|
166 |
+
"step": 220
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 0.9966024915062288,
|
170 |
+
"eval_loss": 2.444694995880127,
|
171 |
+
"eval_runtime": 169.7657,
|
172 |
+
"eval_samples_per_second": 2.327,
|
173 |
+
"eval_steps_per_second": 0.583,
|
174 |
+
"step": 220
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.087202718006795,
|
178 |
+
"grad_norm": 1.1171083450317383,
|
179 |
+
"learning_rate": 1.0505050505050507e-05,
|
180 |
+
"loss": 2.4456,
|
181 |
+
"step": 240
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 1.087202718006795,
|
185 |
+
"eval_loss": 2.4184916019439697,
|
186 |
+
"eval_runtime": 169.7027,
|
187 |
+
"eval_samples_per_second": 2.328,
|
188 |
+
"eval_steps_per_second": 0.583,
|
189 |
+
"step": 240
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 1.1778029445073612,
|
193 |
+
"grad_norm": 1.1789259910583496,
|
194 |
+
"learning_rate": 9.696969696969698e-06,
|
195 |
+
"loss": 2.4151,
|
196 |
+
"step": 260
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 1.1778029445073612,
|
200 |
+
"eval_loss": 2.397007465362549,
|
201 |
+
"eval_runtime": 169.6356,
|
202 |
+
"eval_samples_per_second": 2.329,
|
203 |
+
"eval_steps_per_second": 0.584,
|
204 |
+
"step": 260
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.2684031710079275,
|
208 |
+
"grad_norm": 1.1507657766342163,
|
209 |
+
"learning_rate": 8.888888888888888e-06,
|
210 |
+
"loss": 2.3943,
|
211 |
+
"step": 280
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 1.2684031710079275,
|
215 |
+
"eval_loss": 2.3794679641723633,
|
216 |
+
"eval_runtime": 169.6152,
|
217 |
+
"eval_samples_per_second": 2.329,
|
218 |
+
"eval_steps_per_second": 0.584,
|
219 |
+
"step": 280
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.3590033975084936,
|
223 |
+
"grad_norm": 1.1052231788635254,
|
224 |
+
"learning_rate": 8.08080808080808e-06,
|
225 |
+
"loss": 2.3621,
|
226 |
+
"step": 300
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 1.3590033975084936,
|
230 |
+
"eval_loss": 2.3650312423706055,
|
231 |
+
"eval_runtime": 169.6247,
|
232 |
+
"eval_samples_per_second": 2.329,
|
233 |
+
"eval_steps_per_second": 0.584,
|
234 |
+
"step": 300
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.44960362400906,
|
238 |
+
"grad_norm": 1.156396508216858,
|
239 |
+
"learning_rate": 7.272727272727273e-06,
|
240 |
+
"loss": 2.3475,
|
241 |
+
"step": 320
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1.44960362400906,
|
245 |
+
"eval_loss": 2.3532702922821045,
|
246 |
+
"eval_runtime": 169.6216,
|
247 |
+
"eval_samples_per_second": 2.329,
|
248 |
+
"eval_steps_per_second": 0.584,
|
249 |
+
"step": 320
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.5402038505096263,
|
253 |
+
"grad_norm": 1.1324844360351562,
|
254 |
+
"learning_rate": 6.464646464646466e-06,
|
255 |
+
"loss": 2.339,
|
256 |
+
"step": 340
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 1.5402038505096263,
|
260 |
+
"eval_loss": 2.342968702316284,
|
261 |
+
"eval_runtime": 169.6943,
|
262 |
+
"eval_samples_per_second": 2.328,
|
263 |
+
"eval_steps_per_second": 0.583,
|
264 |
+
"step": 340
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 1.6308040770101924,
|
268 |
+
"grad_norm": 1.2476097345352173,
|
269 |
+
"learning_rate": 5.656565656565657e-06,
|
270 |
+
"loss": 2.3247,
|
271 |
+
"step": 360
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 1.6308040770101924,
|
275 |
+
"eval_loss": 2.334242343902588,
|
276 |
+
"eval_runtime": 169.8944,
|
277 |
+
"eval_samples_per_second": 2.325,
|
278 |
+
"eval_steps_per_second": 0.583,
|
279 |
+
"step": 360
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 1.721404303510759,
|
283 |
+
"grad_norm": 1.1416445970535278,
|
284 |
+
"learning_rate": 4.848484848484849e-06,
|
285 |
+
"loss": 2.3335,
|
286 |
+
"step": 380
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 1.721404303510759,
|
290 |
+
"eval_loss": 2.326986789703369,
|
291 |
+
"eval_runtime": 169.8042,
|
292 |
+
"eval_samples_per_second": 2.326,
|
293 |
+
"eval_steps_per_second": 0.583,
|
294 |
+
"step": 380
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.812004530011325,
|
298 |
+
"grad_norm": 1.1464892625808716,
|
299 |
+
"learning_rate": 4.04040404040404e-06,
|
300 |
+
"loss": 2.3007,
|
301 |
+
"step": 400
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.812004530011325,
|
305 |
+
"eval_loss": 2.321030378341675,
|
306 |
+
"eval_runtime": 169.8884,
|
307 |
+
"eval_samples_per_second": 2.325,
|
308 |
+
"eval_steps_per_second": 0.583,
|
309 |
+
"step": 400
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.9026047565118913,
|
313 |
+
"grad_norm": 1.1699483394622803,
|
314 |
+
"learning_rate": 3.232323232323233e-06,
|
315 |
+
"loss": 2.3095,
|
316 |
+
"step": 420
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 1.9026047565118913,
|
320 |
+
"eval_loss": 2.3161513805389404,
|
321 |
+
"eval_runtime": 169.7467,
|
322 |
+
"eval_samples_per_second": 2.327,
|
323 |
+
"eval_steps_per_second": 0.583,
|
324 |
+
"step": 420
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.9932049830124576,
|
328 |
+
"grad_norm": 1.1978620290756226,
|
329 |
+
"learning_rate": 2.4242424242424244e-06,
|
330 |
+
"loss": 2.3093,
|
331 |
+
"step": 440
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 1.9932049830124576,
|
335 |
+
"eval_loss": 2.312627077102661,
|
336 |
+
"eval_runtime": 170.0514,
|
337 |
+
"eval_samples_per_second": 2.323,
|
338 |
+
"eval_steps_per_second": 0.582,
|
339 |
+
"step": 440
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 2.0838052095130237,
|
343 |
+
"grad_norm": 1.23793363571167,
|
344 |
+
"learning_rate": 1.6161616161616164e-06,
|
345 |
+
"loss": 2.327,
|
346 |
+
"step": 460
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 2.0838052095130237,
|
350 |
+
"eval_loss": 2.309922933578491,
|
351 |
+
"eval_runtime": 169.6935,
|
352 |
+
"eval_samples_per_second": 2.328,
|
353 |
+
"eval_steps_per_second": 0.583,
|
354 |
+
"step": 460
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.17440543601359,
|
358 |
+
"grad_norm": 1.2800756692886353,
|
359 |
+
"learning_rate": 8.080808080808082e-07,
|
360 |
+
"loss": 2.3005,
|
361 |
+
"step": 480
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 2.17440543601359,
|
365 |
+
"eval_loss": 2.3085172176361084,
|
366 |
+
"eval_runtime": 169.7305,
|
367 |
+
"eval_samples_per_second": 2.327,
|
368 |
+
"eval_steps_per_second": 0.583,
|
369 |
+
"step": 480
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 2.2650056625141564,
|
373 |
+
"grad_norm": 1.1457535028457642,
|
374 |
+
"learning_rate": 0.0,
|
375 |
+
"loss": 2.2871,
|
376 |
+
"step": 500
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 2.2650056625141564,
|
380 |
+
"eval_loss": 2.3081250190734863,
|
381 |
+
"eval_runtime": 169.7694,
|
382 |
+
"eval_samples_per_second": 2.327,
|
383 |
+
"eval_steps_per_second": 0.583,
|
384 |
+
"step": 500
|
385 |
+
}
|
386 |
+
],
|
387 |
+
"logging_steps": 20,
|
388 |
+
"max_steps": 500,
|
389 |
+
"num_input_tokens_seen": 0,
|
390 |
+
"num_train_epochs": 3,
|
391 |
+
"save_steps": 20,
|
392 |
+
"stateful_callbacks": {
|
393 |
+
"TrainerControl": {
|
394 |
+
"args": {
|
395 |
+
"should_epoch_stop": false,
|
396 |
+
"should_evaluate": false,
|
397 |
+
"should_log": false,
|
398 |
+
"should_save": true,
|
399 |
+
"should_training_stop": true
|
400 |
+
},
|
401 |
+
"attributes": {}
|
402 |
+
}
|
403 |
+
},
|
404 |
+
"total_flos": 3.75343643596161e+17,
|
405 |
+
"train_batch_size": 4,
|
406 |
+
"trial_name": null,
|
407 |
+
"trial_params": null
|
408 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d731105dd17696f217873bbe9d974a3aec84fe0c9bf9857f203447bf3218b65a
|
3 |
+
size 5240
|