Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-1446/README.md +204 -0
- training_checkpoints/checkpoint-1446/adapter_config.json +34 -0
- training_checkpoints/checkpoint-1446/adapter_model.safetensors +3 -0
- training_checkpoints/checkpoint-1446/merges.txt +0 -0
- training_checkpoints/checkpoint-1446/optimizer.pt +3 -0
- training_checkpoints/checkpoint-1446/rng_state.pth +3 -0
- training_checkpoints/checkpoint-1446/scheduler.pt +3 -0
- training_checkpoints/checkpoint-1446/special_tokens_map.json +15 -0
- training_checkpoints/checkpoint-1446/tokenizer.json +0 -0
- training_checkpoints/checkpoint-1446/tokenizer_config.json +57 -0
- training_checkpoints/checkpoint-1446/trainer_state.json +229 -0
- training_checkpoints/checkpoint-1446/training_args.bin +3 -0
- training_checkpoints/checkpoint-1446/vocab.json +0 -0
training_checkpoints/checkpoint-1446/README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: facebook/bart-base
|
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 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.10.0
|
training_checkpoints/checkpoint-1446/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "facebook/bart-base",
|
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": 64,
|
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": 16,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"dense",
|
24 |
+
"v_proj",
|
25 |
+
"fc1",
|
26 |
+
"fc2",
|
27 |
+
"out_proj",
|
28 |
+
"q_proj",
|
29 |
+
"k_proj"
|
30 |
+
],
|
31 |
+
"task_type": "SEQ_CLS",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
training_checkpoints/checkpoint-1446/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75d67704fc8f889d58f25436d4bf453b498d72ec435a9cab424fac5d6ff9bcc8
|
3 |
+
size 13151448
|
training_checkpoints/checkpoint-1446/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
training_checkpoints/checkpoint-1446/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cc3a086de923c1eccabd6b4a456088a82f3dbcfc79ca03b4b275b22393165c0e
|
3 |
+
size 26413626
|
training_checkpoints/checkpoint-1446/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7591d5f379881d0269fd4257cfa5ac73840e63abc589e18fa69eba865400364c
|
3 |
+
size 14244
|
training_checkpoints/checkpoint-1446/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a040a6468270082c90ef325b95d79eadcfd63d0c3462f2b617fd5f0d71ebde5
|
3 |
+
size 1064
|
training_checkpoints/checkpoint-1446/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
training_checkpoints/checkpoint-1446/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
training_checkpoints/checkpoint-1446/tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<s>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": true,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "<pad>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"50264": {
|
37 |
+
"content": "<mask>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": true,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
}
|
44 |
+
},
|
45 |
+
"bos_token": "<s>",
|
46 |
+
"clean_up_tokenization_spaces": true,
|
47 |
+
"cls_token": "<s>",
|
48 |
+
"eos_token": "</s>",
|
49 |
+
"errors": "replace",
|
50 |
+
"mask_token": "<mask>",
|
51 |
+
"model_max_length": 1024,
|
52 |
+
"pad_token": "<pad>",
|
53 |
+
"sep_token": "</s>",
|
54 |
+
"tokenizer_class": "BartTokenizer",
|
55 |
+
"trim_offsets": true,
|
56 |
+
"unk_token": "<unk>"
|
57 |
+
}
|
training_checkpoints/checkpoint-1446/trainer_state.json
ADDED
@@ -0,0 +1,229 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5874833340927881,
|
3 |
+
"best_model_checkpoint": "bart-base-lora/checkpoint-1446",
|
4 |
+
"epoch": 8.995334370139968,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1446,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"eval_accuracy": 0.611154144074361,
|
14 |
+
"eval_f1_macro": 0.28705545756004525,
|
15 |
+
"eval_f1_micro": 0.611154144074361,
|
16 |
+
"eval_f1_weighted": 0.5574695078229231,
|
17 |
+
"eval_loss": 1.3204560279846191,
|
18 |
+
"eval_macro_fpr": 0.046390243375546196,
|
19 |
+
"eval_macro_sensitivity": 0.302378554842108,
|
20 |
+
"eval_macro_specificity": 0.9691815961629444,
|
21 |
+
"eval_precision": 0.5321554731456403,
|
22 |
+
"eval_precision_macro": 0.2887439395071009,
|
23 |
+
"eval_recall": 0.611154144074361,
|
24 |
+
"eval_recall_macro": 0.302378554842108,
|
25 |
+
"eval_runtime": 45.1674,
|
26 |
+
"eval_samples_per_second": 28.583,
|
27 |
+
"eval_steps_per_second": 3.587,
|
28 |
+
"eval_weighted_fpr": 0.04347073086248701,
|
29 |
+
"eval_weighted_sensitivity": 0.611154144074361,
|
30 |
+
"eval_weighted_specificity": 0.9265697983698051,
|
31 |
+
"step": 160
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 2.0,
|
35 |
+
"eval_accuracy": 0.6994577846630519,
|
36 |
+
"eval_f1_macro": 0.3947617401663212,
|
37 |
+
"eval_f1_micro": 0.6994577846630519,
|
38 |
+
"eval_f1_weighted": 0.6807748226338182,
|
39 |
+
"eval_loss": 0.887535810470581,
|
40 |
+
"eval_macro_fpr": 0.03062685085400977,
|
41 |
+
"eval_macro_sensitivity": 0.4253981018601158,
|
42 |
+
"eval_macro_specificity": 0.977359054380045,
|
43 |
+
"eval_precision": 0.6728416067370143,
|
44 |
+
"eval_precision_macro": 0.3822291983692299,
|
45 |
+
"eval_recall": 0.6994577846630519,
|
46 |
+
"eval_recall_macro": 0.4253981018601158,
|
47 |
+
"eval_runtime": 44.0045,
|
48 |
+
"eval_samples_per_second": 29.338,
|
49 |
+
"eval_steps_per_second": 3.681,
|
50 |
+
"eval_weighted_fpr": 0.02977743668457406,
|
51 |
+
"eval_weighted_sensitivity": 0.6994577846630519,
|
52 |
+
"eval_weighted_specificity": 0.9609280310376243,
|
53 |
+
"step": 321
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 3.0,
|
57 |
+
"eval_accuracy": 0.7064291247095275,
|
58 |
+
"eval_f1_macro": 0.39687975393644837,
|
59 |
+
"eval_f1_micro": 0.7064291247095275,
|
60 |
+
"eval_f1_weighted": 0.6751887743731854,
|
61 |
+
"eval_loss": 0.842707633972168,
|
62 |
+
"eval_macro_fpr": 0.029525759570689643,
|
63 |
+
"eval_macro_sensitivity": 0.44418263304043937,
|
64 |
+
"eval_macro_specificity": 0.9780349023882488,
|
65 |
+
"eval_precision": 0.6951917464608133,
|
66 |
+
"eval_precision_macro": 0.4131313886422618,
|
67 |
+
"eval_recall": 0.7064291247095275,
|
68 |
+
"eval_recall_macro": 0.44418263304043937,
|
69 |
+
"eval_runtime": 44.2756,
|
70 |
+
"eval_samples_per_second": 29.158,
|
71 |
+
"eval_steps_per_second": 3.659,
|
72 |
+
"eval_weighted_fpr": 0.02882786947592607,
|
73 |
+
"eval_weighted_sensitivity": 0.7064291247095275,
|
74 |
+
"eval_weighted_specificity": 0.9640944111142056,
|
75 |
+
"step": 482
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 3.11,
|
79 |
+
"learning_rate": 3.958333333333333e-05,
|
80 |
+
"loss": 1.2895,
|
81 |
+
"step": 500
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 4.0,
|
85 |
+
"eval_accuracy": 0.7273431448489543,
|
86 |
+
"eval_f1_macro": 0.42839565617146974,
|
87 |
+
"eval_f1_micro": 0.7273431448489543,
|
88 |
+
"eval_f1_weighted": 0.7166656051521775,
|
89 |
+
"eval_loss": 0.7718679904937744,
|
90 |
+
"eval_macro_fpr": 0.026373610346420835,
|
91 |
+
"eval_macro_sensitivity": 0.4597947061276887,
|
92 |
+
"eval_macro_specificity": 0.9797578098165848,
|
93 |
+
"eval_precision": 0.7132141916978711,
|
94 |
+
"eval_precision_macro": 0.41981312370683244,
|
95 |
+
"eval_recall": 0.7273431448489543,
|
96 |
+
"eval_recall_macro": 0.4597947061276887,
|
97 |
+
"eval_runtime": 44.0471,
|
98 |
+
"eval_samples_per_second": 29.31,
|
99 |
+
"eval_steps_per_second": 3.678,
|
100 |
+
"eval_weighted_fpr": 0.026077937472218107,
|
101 |
+
"eval_weighted_sensitivity": 0.7273431448489543,
|
102 |
+
"eval_weighted_specificity": 0.9690240023998159,
|
103 |
+
"step": 643
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 5.0,
|
107 |
+
"eval_accuracy": 0.750580945003873,
|
108 |
+
"eval_f1_macro": 0.5071625387211971,
|
109 |
+
"eval_f1_micro": 0.750580945003873,
|
110 |
+
"eval_f1_weighted": 0.7368350875727435,
|
111 |
+
"eval_loss": 0.7387559413909912,
|
112 |
+
"eval_macro_fpr": 0.02390193870216418,
|
113 |
+
"eval_macro_sensitivity": 0.5165232292614671,
|
114 |
+
"eval_macro_specificity": 0.9813510652812688,
|
115 |
+
"eval_precision": 0.739991301984922,
|
116 |
+
"eval_precision_macro": 0.5733174750951799,
|
117 |
+
"eval_recall": 0.750580945003873,
|
118 |
+
"eval_recall_macro": 0.5165232292614671,
|
119 |
+
"eval_runtime": 43.5191,
|
120 |
+
"eval_samples_per_second": 29.665,
|
121 |
+
"eval_steps_per_second": 3.723,
|
122 |
+
"eval_weighted_fpr": 0.023185483870967742,
|
123 |
+
"eval_weighted_sensitivity": 0.750580945003873,
|
124 |
+
"eval_weighted_specificity": 0.9696850342151593,
|
125 |
+
"step": 803
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 6.0,
|
129 |
+
"eval_accuracy": 0.7443841982958946,
|
130 |
+
"eval_f1_macro": 0.508766573370445,
|
131 |
+
"eval_f1_micro": 0.7443841982958946,
|
132 |
+
"eval_f1_weighted": 0.726841801268282,
|
133 |
+
"eval_loss": 0.7526118755340576,
|
134 |
+
"eval_macro_fpr": 0.024741953499129225,
|
135 |
+
"eval_macro_sensitivity": 0.5229557335240369,
|
136 |
+
"eval_macro_specificity": 0.980899976318631,
|
137 |
+
"eval_precision": 0.7337183019873953,
|
138 |
+
"eval_precision_macro": 0.5703412270657953,
|
139 |
+
"eval_recall": 0.7443841982958946,
|
140 |
+
"eval_recall_macro": 0.5229557335240369,
|
141 |
+
"eval_runtime": 43.7116,
|
142 |
+
"eval_samples_per_second": 29.534,
|
143 |
+
"eval_steps_per_second": 3.706,
|
144 |
+
"eval_weighted_fpr": 0.023940800928612886,
|
145 |
+
"eval_weighted_sensitivity": 0.7443841982958946,
|
146 |
+
"eval_weighted_specificity": 0.9691154464835722,
|
147 |
+
"step": 964
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 6.22,
|
151 |
+
"learning_rate": 2.916666666666667e-05,
|
152 |
+
"loss": 0.7332,
|
153 |
+
"step": 1000
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 7.0,
|
157 |
+
"eval_accuracy": 0.7552285050348567,
|
158 |
+
"eval_f1_macro": 0.5608894910772386,
|
159 |
+
"eval_f1_micro": 0.7552285050348567,
|
160 |
+
"eval_f1_weighted": 0.7460771491633669,
|
161 |
+
"eval_loss": 0.7082085609436035,
|
162 |
+
"eval_macro_fpr": 0.02329269548734161,
|
163 |
+
"eval_macro_sensitivity": 0.5727565701904757,
|
164 |
+
"eval_macro_specificity": 0.9817624646436656,
|
165 |
+
"eval_precision": 0.7436383222975608,
|
166 |
+
"eval_precision_macro": 0.5665418243254761,
|
167 |
+
"eval_recall": 0.7552285050348567,
|
168 |
+
"eval_recall_macro": 0.5727565701904757,
|
169 |
+
"eval_runtime": 43.8592,
|
170 |
+
"eval_samples_per_second": 29.435,
|
171 |
+
"eval_steps_per_second": 3.694,
|
172 |
+
"eval_weighted_fpr": 0.02262637834741515,
|
173 |
+
"eval_weighted_sensitivity": 0.7552285050348567,
|
174 |
+
"eval_weighted_specificity": 0.9712084646201266,
|
175 |
+
"step": 1125
|
176 |
+
},
|
177 |
+
{
|
178 |
+
"epoch": 8.0,
|
179 |
+
"eval_accuracy": 0.7583268783888458,
|
180 |
+
"eval_f1_macro": 0.5755845408528306,
|
181 |
+
"eval_f1_micro": 0.7583268783888458,
|
182 |
+
"eval_f1_weighted": 0.7502605827076951,
|
183 |
+
"eval_loss": 0.7160602807998657,
|
184 |
+
"eval_macro_fpr": 0.022834923601538912,
|
185 |
+
"eval_macro_sensitivity": 0.5974764193374731,
|
186 |
+
"eval_macro_specificity": 0.9820281006961107,
|
187 |
+
"eval_precision": 0.7489019370925815,
|
188 |
+
"eval_precision_macro": 0.5641453776326693,
|
189 |
+
"eval_recall": 0.7583268783888458,
|
190 |
+
"eval_recall_macro": 0.5974764193374731,
|
191 |
+
"eval_runtime": 47.4544,
|
192 |
+
"eval_samples_per_second": 27.205,
|
193 |
+
"eval_steps_per_second": 3.414,
|
194 |
+
"eval_weighted_fpr": 0.022257098016835498,
|
195 |
+
"eval_weighted_sensitivity": 0.7583268783888458,
|
196 |
+
"eval_weighted_specificity": 0.9720946320528147,
|
197 |
+
"step": 1286
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 9.0,
|
201 |
+
"eval_accuracy": 0.7776917118512781,
|
202 |
+
"eval_f1_macro": 0.5874833340927881,
|
203 |
+
"eval_f1_micro": 0.7776917118512781,
|
204 |
+
"eval_f1_weighted": 0.7653015782806978,
|
205 |
+
"eval_loss": 0.683149516582489,
|
206 |
+
"eval_macro_fpr": 0.020831516213897273,
|
207 |
+
"eval_macro_sensitivity": 0.606896137249408,
|
208 |
+
"eval_macro_specificity": 0.9832816294136357,
|
209 |
+
"eval_precision": 0.7586915140412427,
|
210 |
+
"eval_precision_macro": 0.5780981033617572,
|
211 |
+
"eval_recall": 0.7776917118512781,
|
212 |
+
"eval_recall_macro": 0.606896137249408,
|
213 |
+
"eval_runtime": 50.31,
|
214 |
+
"eval_samples_per_second": 25.661,
|
215 |
+
"eval_steps_per_second": 3.22,
|
216 |
+
"eval_weighted_fpr": 0.02000976085895559,
|
217 |
+
"eval_weighted_sensitivity": 0.7776917118512781,
|
218 |
+
"eval_weighted_specificity": 0.9715327293532582,
|
219 |
+
"step": 1446
|
220 |
+
}
|
221 |
+
],
|
222 |
+
"logging_steps": 500,
|
223 |
+
"max_steps": 2400,
|
224 |
+
"num_train_epochs": 15,
|
225 |
+
"save_steps": 500,
|
226 |
+
"total_flos": 1.4649355222935552e+16,
|
227 |
+
"trial_name": null,
|
228 |
+
"trial_params": null
|
229 |
+
}
|
training_checkpoints/checkpoint-1446/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cfb230625284b71a8582d0495ae9a462b745f8cb976f9d7932c4f91357944609
|
3 |
+
size 4600
|
training_checkpoints/checkpoint-1446/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|