Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-2572/README.md +204 -0
- training_checkpoints/checkpoint-2572/adapter_config.json +31 -0
- training_checkpoints/checkpoint-2572/adapter_model.safetensors +3 -0
- training_checkpoints/checkpoint-2572/added_tokens.json +3 -0
- training_checkpoints/checkpoint-2572/optimizer.pt +3 -0
- training_checkpoints/checkpoint-2572/rng_state.pth +3 -0
- training_checkpoints/checkpoint-2572/scheduler.pt +3 -0
- training_checkpoints/checkpoint-2572/special_tokens_map.json +13 -0
- training_checkpoints/checkpoint-2572/tokenizer.json +0 -0
- training_checkpoints/checkpoint-2572/tokenizer_config.json +65 -0
- training_checkpoints/checkpoint-2572/trainer_state.json +137 -0
- training_checkpoints/checkpoint-2572/training_args.bin +3 -0
- training_checkpoints/checkpoint-2572/vocab.txt +0 -0
training_checkpoints/checkpoint-2572/README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: nlpaueb/legal-bert-base-uncased
|
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-2572/adapter_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "nlpaueb/legal-bert-base-uncased",
|
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 |
+
"key",
|
25 |
+
"query",
|
26 |
+
"value"
|
27 |
+
],
|
28 |
+
"task_type": "SEQ_CLS",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": false
|
31 |
+
}
|
training_checkpoints/checkpoint-2572/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:741ad7bfbf1b55ef81ae8b38af0433261cccd67d6bbcecaa9f637b14138f5076
|
3 |
+
size 104549068
|
training_checkpoints/checkpoint-2572/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<pad>": 30522
|
3 |
+
}
|
training_checkpoints/checkpoint-2572/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7cd226242b458b9509d762625a20f3c75ba1656528025a1ac780fd59ef9d5a47
|
3 |
+
size 21646778
|
training_checkpoints/checkpoint-2572/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b812ca7db23df0d6cda4fed7c1a5a5f1b3351059b4e554a59e169781679ab1d0
|
3 |
+
size 14244
|
training_checkpoints/checkpoint-2572/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca26fdbf861263fc7f81bd926bc5da9c7cdc0d245173d579fdb6dcfc6e4b0a5d
|
3 |
+
size 1064
|
training_checkpoints/checkpoint-2572/special_tokens_map.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": {
|
5 |
+
"content": "<pad>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false
|
10 |
+
},
|
11 |
+
"sep_token": "[SEP]",
|
12 |
+
"unk_token": "[UNK]"
|
13 |
+
}
|
training_checkpoints/checkpoint-2572/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
training_checkpoints/checkpoint-2572/tokenizer_config.json
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"30522": {
|
44 |
+
"content": "<pad>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
}
|
51 |
+
},
|
52 |
+
"clean_up_tokenization_spaces": true,
|
53 |
+
"cls_token": "[CLS]",
|
54 |
+
"do_basic_tokenize": true,
|
55 |
+
"do_lower_case": true,
|
56 |
+
"mask_token": "[MASK]",
|
57 |
+
"model_max_length": 512,
|
58 |
+
"never_split": null,
|
59 |
+
"pad_token": "<pad>",
|
60 |
+
"sep_token": "[SEP]",
|
61 |
+
"strip_accents": null,
|
62 |
+
"tokenize_chinese_chars": true,
|
63 |
+
"tokenizer_class": "BertTokenizer",
|
64 |
+
"unk_token": "[UNK]"
|
65 |
+
}
|
training_checkpoints/checkpoint-2572/trainer_state.json
ADDED
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.641318903734146,
|
3 |
+
"best_model_checkpoint": "legal-bert-lora-no-grad/checkpoint-2572",
|
4 |
+
"epoch": 4.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2572,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.78,
|
13 |
+
"learning_rate": 4.870399170554692e-05,
|
14 |
+
"loss": 1.5473,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 1.0,
|
19 |
+
"eval_accuracy": 0.7172734314484895,
|
20 |
+
"eval_f1_macro": 0.3920432121625908,
|
21 |
+
"eval_f1_micro": 0.7172734314484894,
|
22 |
+
"eval_f1_weighted": 0.6868869808248764,
|
23 |
+
"eval_loss": 0.8484711050987244,
|
24 |
+
"eval_macro_fpr": 0.027836504093424867,
|
25 |
+
"eval_macro_sensitivity": 0.44215864388540455,
|
26 |
+
"eval_macro_specificity": 0.9788744549045134,
|
27 |
+
"eval_precision": 0.6896842532804647,
|
28 |
+
"eval_precision_macro": 0.3892290687521846,
|
29 |
+
"eval_recall": 0.7172734314484895,
|
30 |
+
"eval_recall_macro": 0.44215864388540455,
|
31 |
+
"eval_runtime": 32.4222,
|
32 |
+
"eval_samples_per_second": 39.818,
|
33 |
+
"eval_steps_per_second": 4.997,
|
34 |
+
"eval_weighted_fpr": 0.027383899767424412,
|
35 |
+
"eval_weighted_sensitivity": 0.7172734314484895,
|
36 |
+
"eval_weighted_specificity": 0.9658433921192108,
|
37 |
+
"step": 643
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 1.56,
|
41 |
+
"learning_rate": 4.740798341109383e-05,
|
42 |
+
"loss": 0.7816,
|
43 |
+
"step": 1000
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 2.0,
|
47 |
+
"eval_accuracy": 0.7544539116963594,
|
48 |
+
"eval_f1_macro": 0.47513531679703136,
|
49 |
+
"eval_f1_micro": 0.7544539116963594,
|
50 |
+
"eval_f1_weighted": 0.7304002619527014,
|
51 |
+
"eval_loss": 0.7113391757011414,
|
52 |
+
"eval_macro_fpr": 0.023051270843305598,
|
53 |
+
"eval_macro_sensitivity": 0.5054156753128263,
|
54 |
+
"eval_macro_specificity": 0.9817050378554314,
|
55 |
+
"eval_precision": 0.7491876907285084,
|
56 |
+
"eval_precision_macro": 0.5281699878111706,
|
57 |
+
"eval_recall": 0.7544539116963594,
|
58 |
+
"eval_recall_macro": 0.5054156753128263,
|
59 |
+
"eval_runtime": 33.6622,
|
60 |
+
"eval_samples_per_second": 38.352,
|
61 |
+
"eval_steps_per_second": 4.813,
|
62 |
+
"eval_weighted_fpr": 0.02271912850283093,
|
63 |
+
"eval_weighted_sensitivity": 0.7544539116963594,
|
64 |
+
"eval_weighted_specificity": 0.9711216561351127,
|
65 |
+
"step": 1286
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.33,
|
69 |
+
"learning_rate": 4.6111975116640746e-05,
|
70 |
+
"loss": 0.6956,
|
71 |
+
"step": 1500
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 3.0,
|
75 |
+
"eval_accuracy": 0.7986057319907048,
|
76 |
+
"eval_f1_macro": 0.5439483491438576,
|
77 |
+
"eval_f1_micro": 0.7986057319907048,
|
78 |
+
"eval_f1_weighted": 0.7833451448204543,
|
79 |
+
"eval_loss": 0.6460158824920654,
|
80 |
+
"eval_macro_fpr": 0.01844352926124183,
|
81 |
+
"eval_macro_sensitivity": 0.5700868724489073,
|
82 |
+
"eval_macro_specificity": 0.9848453217277398,
|
83 |
+
"eval_precision": 0.7793241511142787,
|
84 |
+
"eval_precision_macro": 0.5435553848320287,
|
85 |
+
"eval_recall": 0.7986057319907048,
|
86 |
+
"eval_recall_macro": 0.5700868724489073,
|
87 |
+
"eval_runtime": 33.205,
|
88 |
+
"eval_samples_per_second": 38.88,
|
89 |
+
"eval_steps_per_second": 4.879,
|
90 |
+
"eval_weighted_fpr": 0.01769429699196951,
|
91 |
+
"eval_weighted_sensitivity": 0.7986057319907048,
|
92 |
+
"eval_weighted_specificity": 0.974074093925392,
|
93 |
+
"step": 1929
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 3.11,
|
97 |
+
"learning_rate": 4.481596682218767e-05,
|
98 |
+
"loss": 0.6117,
|
99 |
+
"step": 2000
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 3.89,
|
103 |
+
"learning_rate": 4.3519958527734576e-05,
|
104 |
+
"loss": 0.4942,
|
105 |
+
"step": 2500
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 4.0,
|
109 |
+
"eval_accuracy": 0.8109992254066615,
|
110 |
+
"eval_f1_macro": 0.641318903734146,
|
111 |
+
"eval_f1_micro": 0.8109992254066615,
|
112 |
+
"eval_f1_weighted": 0.8036671817127167,
|
113 |
+
"eval_loss": 0.6429558992385864,
|
114 |
+
"eval_macro_fpr": 0.016902452669854486,
|
115 |
+
"eval_macro_sensitivity": 0.6670193163886222,
|
116 |
+
"eval_macro_specificity": 0.9858199536379567,
|
117 |
+
"eval_precision": 0.8014184747492699,
|
118 |
+
"eval_precision_macro": 0.6315294283267076,
|
119 |
+
"eval_recall": 0.8109992254066615,
|
120 |
+
"eval_recall_macro": 0.6670193163886222,
|
121 |
+
"eval_runtime": 34.2851,
|
122 |
+
"eval_samples_per_second": 37.655,
|
123 |
+
"eval_steps_per_second": 4.725,
|
124 |
+
"eval_weighted_fpr": 0.016373641121997046,
|
125 |
+
"eval_weighted_sensitivity": 0.8109992254066615,
|
126 |
+
"eval_weighted_specificity": 0.9763000791626885,
|
127 |
+
"step": 2572
|
128 |
+
}
|
129 |
+
],
|
130 |
+
"logging_steps": 500,
|
131 |
+
"max_steps": 19290,
|
132 |
+
"num_train_epochs": 30,
|
133 |
+
"save_steps": 500,
|
134 |
+
"total_flos": 5577944869453824.0,
|
135 |
+
"trial_name": null,
|
136 |
+
"trial_params": null
|
137 |
+
}
|
training_checkpoints/checkpoint-2572/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bdaaee2ea8c5545699d181a8364cb087d92c47cb0d5f67dcc808085b20d2a66a
|
3 |
+
size 4600
|
training_checkpoints/checkpoint-2572/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|