Upload 6 files
Browse files- README.md +202 -3
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- config.json +73 -0
- non_lora_trainables.bin +3 -0
- trainer_state.json +504 -0
README.md
CHANGED
@@ -1,3 +1,202 @@
|
|
1 |
-
---
|
2 |
-
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
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 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
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": 256,
|
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": 128,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"v_proj",
|
25 |
+
"up_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"o_proj",
|
28 |
+
"q_proj",
|
29 |
+
"down_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 sha256:0a835791b30e5094a12dfc29ea44d3337de72194e2ee6dafd789cddae4cdc3a9
|
3 |
+
size 708923528
|
config.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
3 |
+
"architectures": [
|
4 |
+
"LlavaMistralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"freeze_mm_mlp_adapter": false,
|
11 |
+
"freeze_mm_vision_resampler": false,
|
12 |
+
"hidden_act": "silu",
|
13 |
+
"hidden_size": 4096,
|
14 |
+
"image_aspect_ratio": "pad",
|
15 |
+
"image_crop_resolution": 224,
|
16 |
+
"image_grid_pinpoints": [
|
17 |
+
[
|
18 |
+
336,
|
19 |
+
672
|
20 |
+
],
|
21 |
+
[
|
22 |
+
672,
|
23 |
+
336
|
24 |
+
],
|
25 |
+
[
|
26 |
+
672,
|
27 |
+
672
|
28 |
+
],
|
29 |
+
[
|
30 |
+
1008,
|
31 |
+
336
|
32 |
+
],
|
33 |
+
[
|
34 |
+
336,
|
35 |
+
1008
|
36 |
+
]
|
37 |
+
],
|
38 |
+
"image_split_resolution": 224,
|
39 |
+
"initializer_range": 0.02,
|
40 |
+
"intermediate_size": 14336,
|
41 |
+
"max_position_embeddings": 32768,
|
42 |
+
"mm_hidden_size": 1024,
|
43 |
+
"mm_patch_merge_type": "flat",
|
44 |
+
"mm_projector_lr": 2e-05,
|
45 |
+
"mm_projector_type": "mlp2x_gelu",
|
46 |
+
"mm_resampler_type": null,
|
47 |
+
"mm_use_im_patch_token": false,
|
48 |
+
"mm_use_im_start_end": false,
|
49 |
+
"mm_vision_select_feature": "patch",
|
50 |
+
"mm_vision_select_layer": -2,
|
51 |
+
"mm_vision_tower": "openai/clip-vit-large-patch14-336",
|
52 |
+
"mm_vision_tower_lr": 2e-06,
|
53 |
+
"model_type": "llava_llama",
|
54 |
+
"num_attention_heads": 32,
|
55 |
+
"num_hidden_layers": 32,
|
56 |
+
"num_key_value_heads": 8,
|
57 |
+
"pretraining_tp": 1,
|
58 |
+
"rms_norm_eps": 1e-05,
|
59 |
+
"rope_scaling": null,
|
60 |
+
"rope_theta": 1000000.0,
|
61 |
+
"sliding_window": null,
|
62 |
+
"tie_word_embeddings": false,
|
63 |
+
"tokenizer_model_max_length": 2048,
|
64 |
+
"tokenizer_padding_side": "right",
|
65 |
+
"torch_dtype": "bfloat16",
|
66 |
+
"transformers_version": "4.37.2",
|
67 |
+
"tune_mm_mlp_adapter": false,
|
68 |
+
"tune_mm_vision_resampler": false,
|
69 |
+
"unfreeze_mm_vision_tower": true,
|
70 |
+
"use_cache": true,
|
71 |
+
"use_mm_proj": true,
|
72 |
+
"vocab_size": 32000
|
73 |
+
}
|
non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
3 |
+
size 912
|
trainer_state.json
ADDED
@@ -0,0 +1,504 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 79,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"learning_rate": 6.666666666666667e-06,
|
14 |
+
"loss": 1.563,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.03,
|
19 |
+
"learning_rate": 1.3333333333333333e-05,
|
20 |
+
"loss": 1.3043,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"learning_rate": 2e-05,
|
26 |
+
"loss": 1.2638,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.05,
|
31 |
+
"learning_rate": 1.999145758387301e-05,
|
32 |
+
"loss": 1.3178,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.06,
|
37 |
+
"learning_rate": 1.99658449300667e-05,
|
38 |
+
"loss": 0.9881,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.08,
|
43 |
+
"learning_rate": 1.992320579737045e-05,
|
44 |
+
"loss": 0.9734,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.09,
|
49 |
+
"learning_rate": 1.9863613034027224e-05,
|
50 |
+
"loss": 1.0088,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.1,
|
55 |
+
"learning_rate": 1.9787168453273546e-05,
|
56 |
+
"loss": 0.996,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.11,
|
61 |
+
"learning_rate": 1.9694002659393306e-05,
|
62 |
+
"loss": 0.8973,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.13,
|
67 |
+
"learning_rate": 1.958427482458253e-05,
|
68 |
+
"loss": 0.9568,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.14,
|
73 |
+
"learning_rate": 1.9458172417006347e-05,
|
74 |
+
"loss": 0.9458,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.15,
|
79 |
+
"learning_rate": 1.9315910880512792e-05,
|
80 |
+
"loss": 0.9379,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.16,
|
85 |
+
"learning_rate": 1.9157733266550577e-05,
|
86 |
+
"loss": 0.9296,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.18,
|
91 |
+
"learning_rate": 1.898390981891979e-05,
|
92 |
+
"loss": 0.8659,
|
93 |
+
"step": 14
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.19,
|
97 |
+
"learning_rate": 1.879473751206489e-05,
|
98 |
+
"loss": 0.876,
|
99 |
+
"step": 15
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.2,
|
103 |
+
"learning_rate": 1.8590539543698852e-05,
|
104 |
+
"loss": 0.8748,
|
105 |
+
"step": 16
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.22,
|
109 |
+
"learning_rate": 1.8371664782625287e-05,
|
110 |
+
"loss": 0.9528,
|
111 |
+
"step": 17
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.23,
|
115 |
+
"learning_rate": 1.813848717270195e-05,
|
116 |
+
"loss": 0.9572,
|
117 |
+
"step": 18
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.24,
|
121 |
+
"learning_rate": 1.789140509396394e-05,
|
122 |
+
"loss": 0.903,
|
123 |
+
"step": 19
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.25,
|
127 |
+
"learning_rate": 1.7630840681998068e-05,
|
128 |
+
"loss": 0.8989,
|
129 |
+
"step": 20
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.27,
|
133 |
+
"learning_rate": 1.735723910673132e-05,
|
134 |
+
"loss": 0.8918,
|
135 |
+
"step": 21
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.28,
|
139 |
+
"learning_rate": 1.7071067811865477e-05,
|
140 |
+
"loss": 0.8911,
|
141 |
+
"step": 22
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.29,
|
145 |
+
"learning_rate": 1.6772815716257414e-05,
|
146 |
+
"loss": 0.9015,
|
147 |
+
"step": 23
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.3,
|
151 |
+
"learning_rate": 1.646299237860941e-05,
|
152 |
+
"loss": 0.8788,
|
153 |
+
"step": 24
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.32,
|
157 |
+
"learning_rate": 1.6142127126896682e-05,
|
158 |
+
"loss": 0.8929,
|
159 |
+
"step": 25
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.33,
|
163 |
+
"learning_rate": 1.5810768154019386e-05,
|
164 |
+
"loss": 0.9049,
|
165 |
+
"step": 26
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.34,
|
169 |
+
"learning_rate": 1.5469481581224274e-05,
|
170 |
+
"loss": 0.8985,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.35,
|
175 |
+
"learning_rate": 1.5118850490896012e-05,
|
176 |
+
"loss": 0.9353,
|
177 |
+
"step": 28
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.37,
|
181 |
+
"learning_rate": 1.4759473930370738e-05,
|
182 |
+
"loss": 0.8249,
|
183 |
+
"step": 29
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.38,
|
187 |
+
"learning_rate": 1.4391965888473705e-05,
|
188 |
+
"loss": 0.8426,
|
189 |
+
"step": 30
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.39,
|
193 |
+
"learning_rate": 1.4016954246529697e-05,
|
194 |
+
"loss": 0.8492,
|
195 |
+
"step": 31
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.41,
|
199 |
+
"learning_rate": 1.3635079705638298e-05,
|
200 |
+
"loss": 0.8952,
|
201 |
+
"step": 32
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.42,
|
205 |
+
"learning_rate": 1.3246994692046837e-05,
|
206 |
+
"loss": 0.8821,
|
207 |
+
"step": 33
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.43,
|
211 |
+
"learning_rate": 1.2853362242491054e-05,
|
212 |
+
"loss": 0.8758,
|
213 |
+
"step": 34
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.44,
|
217 |
+
"learning_rate": 1.2454854871407993e-05,
|
218 |
+
"loss": 0.8224,
|
219 |
+
"step": 35
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.46,
|
223 |
+
"learning_rate": 1.2052153421956343e-05,
|
224 |
+
"loss": 0.8758,
|
225 |
+
"step": 36
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.47,
|
229 |
+
"learning_rate": 1.164594590280734e-05,
|
230 |
+
"loss": 0.8689,
|
231 |
+
"step": 37
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.48,
|
235 |
+
"learning_rate": 1.123692631269348e-05,
|
236 |
+
"loss": 0.7884,
|
237 |
+
"step": 38
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.49,
|
241 |
+
"learning_rate": 1.0825793454723325e-05,
|
242 |
+
"loss": 0.8356,
|
243 |
+
"step": 39
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.51,
|
247 |
+
"learning_rate": 1.0413249742488132e-05,
|
248 |
+
"loss": 0.8492,
|
249 |
+
"step": 40
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.52,
|
253 |
+
"learning_rate": 1e-05,
|
254 |
+
"loss": 0.9018,
|
255 |
+
"step": 41
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.53,
|
259 |
+
"learning_rate": 9.586750257511868e-06,
|
260 |
+
"loss": 0.8776,
|
261 |
+
"step": 42
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.54,
|
265 |
+
"learning_rate": 9.174206545276678e-06,
|
266 |
+
"loss": 0.8249,
|
267 |
+
"step": 43
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.56,
|
271 |
+
"learning_rate": 8.763073687306523e-06,
|
272 |
+
"loss": 0.9175,
|
273 |
+
"step": 44
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.57,
|
277 |
+
"learning_rate": 8.35405409719266e-06,
|
278 |
+
"loss": 0.8375,
|
279 |
+
"step": 45
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.58,
|
283 |
+
"learning_rate": 7.947846578043658e-06,
|
284 |
+
"loss": 0.9021,
|
285 |
+
"step": 46
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.59,
|
289 |
+
"learning_rate": 7.545145128592009e-06,
|
290 |
+
"loss": 0.8291,
|
291 |
+
"step": 47
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.61,
|
295 |
+
"learning_rate": 7.14663775750895e-06,
|
296 |
+
"loss": 0.8727,
|
297 |
+
"step": 48
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.62,
|
301 |
+
"learning_rate": 6.7530053079531664e-06,
|
302 |
+
"loss": 0.8673,
|
303 |
+
"step": 49
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.63,
|
307 |
+
"learning_rate": 6.364920294361701e-06,
|
308 |
+
"loss": 0.8716,
|
309 |
+
"step": 50
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.65,
|
313 |
+
"learning_rate": 5.983045753470308e-06,
|
314 |
+
"loss": 0.8658,
|
315 |
+
"step": 51
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.66,
|
319 |
+
"learning_rate": 5.608034111526298e-06,
|
320 |
+
"loss": 0.8199,
|
321 |
+
"step": 52
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.67,
|
325 |
+
"learning_rate": 5.240526069629265e-06,
|
326 |
+
"loss": 0.9193,
|
327 |
+
"step": 53
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.68,
|
331 |
+
"learning_rate": 4.881149509103993e-06,
|
332 |
+
"loss": 0.7906,
|
333 |
+
"step": 54
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.7,
|
337 |
+
"learning_rate": 4.530518418775734e-06,
|
338 |
+
"loss": 0.8785,
|
339 |
+
"step": 55
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.71,
|
343 |
+
"learning_rate": 4.189231845980618e-06,
|
344 |
+
"loss": 0.8281,
|
345 |
+
"step": 56
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.72,
|
349 |
+
"learning_rate": 3.857872873103322e-06,
|
350 |
+
"loss": 0.8772,
|
351 |
+
"step": 57
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.73,
|
355 |
+
"learning_rate": 3.5370076213905904e-06,
|
356 |
+
"loss": 0.8723,
|
357 |
+
"step": 58
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.75,
|
361 |
+
"learning_rate": 3.2271842837425917e-06,
|
362 |
+
"loss": 0.8242,
|
363 |
+
"step": 59
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.76,
|
367 |
+
"learning_rate": 2.9289321881345257e-06,
|
368 |
+
"loss": 0.8723,
|
369 |
+
"step": 60
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.77,
|
373 |
+
"learning_rate": 2.642760893268684e-06,
|
374 |
+
"loss": 0.8294,
|
375 |
+
"step": 61
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.78,
|
379 |
+
"learning_rate": 2.369159318001937e-06,
|
380 |
+
"loss": 0.8132,
|
381 |
+
"step": 62
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.8,
|
385 |
+
"learning_rate": 2.1085949060360654e-06,
|
386 |
+
"loss": 0.9158,
|
387 |
+
"step": 63
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.81,
|
391 |
+
"learning_rate": 1.861512827298051e-06,
|
392 |
+
"loss": 0.8152,
|
393 |
+
"step": 64
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.82,
|
397 |
+
"learning_rate": 1.6283352173747148e-06,
|
398 |
+
"loss": 0.8172,
|
399 |
+
"step": 65
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.84,
|
403 |
+
"learning_rate": 1.409460456301147e-06,
|
404 |
+
"loss": 0.8718,
|
405 |
+
"step": 66
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.85,
|
409 |
+
"learning_rate": 1.2052624879351105e-06,
|
410 |
+
"loss": 0.8251,
|
411 |
+
"step": 67
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.86,
|
415 |
+
"learning_rate": 1.0160901810802114e-06,
|
416 |
+
"loss": 0.8401,
|
417 |
+
"step": 68
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.87,
|
421 |
+
"learning_rate": 8.42266733449425e-07,
|
422 |
+
"loss": 0.8318,
|
423 |
+
"step": 69
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.89,
|
427 |
+
"learning_rate": 6.840891194872112e-07,
|
428 |
+
"loss": 0.8563,
|
429 |
+
"step": 70
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.9,
|
433 |
+
"learning_rate": 5.418275829936537e-07,
|
434 |
+
"loss": 0.87,
|
435 |
+
"step": 71
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.91,
|
439 |
+
"learning_rate": 4.1572517541747294e-07,
|
440 |
+
"loss": 0.8736,
|
441 |
+
"step": 72
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.92,
|
445 |
+
"learning_rate": 3.059973406066963e-07,
|
446 |
+
"loss": 0.837,
|
447 |
+
"step": 73
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.94,
|
451 |
+
"learning_rate": 2.1283154672645522e-07,
|
452 |
+
"loss": 0.8477,
|
453 |
+
"step": 74
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.95,
|
457 |
+
"learning_rate": 1.3638696597277678e-07,
|
458 |
+
"loss": 0.8302,
|
459 |
+
"step": 75
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.96,
|
463 |
+
"learning_rate": 7.679420262954984e-08,
|
464 |
+
"loss": 0.8606,
|
465 |
+
"step": 76
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.97,
|
469 |
+
"learning_rate": 3.4155069933301535e-08,
|
470 |
+
"loss": 0.904,
|
471 |
+
"step": 77
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.99,
|
475 |
+
"learning_rate": 8.542416126989805e-09,
|
476 |
+
"loss": 0.8027,
|
477 |
+
"step": 78
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 1.0,
|
481 |
+
"learning_rate": 0.0,
|
482 |
+
"loss": 0.8881,
|
483 |
+
"step": 79
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 1.0,
|
487 |
+
"step": 79,
|
488 |
+
"total_flos": 2.0832241753627034e+17,
|
489 |
+
"train_loss": 0.9012186353719687,
|
490 |
+
"train_runtime": 1256.0083,
|
491 |
+
"train_samples_per_second": 3.981,
|
492 |
+
"train_steps_per_second": 0.063
|
493 |
+
}
|
494 |
+
],
|
495 |
+
"logging_steps": 1.0,
|
496 |
+
"max_steps": 79,
|
497 |
+
"num_input_tokens_seen": 0,
|
498 |
+
"num_train_epochs": 1,
|
499 |
+
"save_steps": 1000,
|
500 |
+
"total_flos": 2.0832241753627034e+17,
|
501 |
+
"train_batch_size": 16,
|
502 |
+
"trial_name": null,
|
503 |
+
"trial_params": null
|
504 |
+
}
|