manhdofts03
commited on
Commit
•
ab7ab0b
1
Parent(s):
955783d
pretrain_model and pretrain_model_token
Browse files- README.md +202 -0
- adapter_config.json +15 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +938 -0
- trainer_state.json +2404 -0
- training_args.bin +3 -0
README.md
CHANGED
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---
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base_model: google/flan-t5-base
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.12.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "google/flan-t5-base",
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"encoder_hidden_size": 768,
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"inference_mode": true,
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"num_attention_heads": 12,
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"num_layers": 12,
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"num_transformer_submodules": 2,
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"num_virtual_tokens": 10,
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"peft_type": "PREFIX_TUNING",
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"prefix_projection": false,
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"revision": null,
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"task_type": "SEQ_2_SEQ_LM",
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"token_dim": 768
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:50e5f56cb93e24519f87e06380a4cc165e236a5672284e023124d8b8c4312b6a
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size 737408
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1668a50bc4fc5ae4ac8fd5df156755023b953a0faa22f5edffea9330864a0cb
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size 1476706
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ae8573da8e876fe7f247a4c33de1fa7a0566597332f73823e08b18a4a13a070
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc0c458265c2047c4bc0087443c96faa043c845ded72e30ee4cd296ade663989
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size 1064
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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|
81 |
+
"<extra_id_78>",
|
82 |
+
"<extra_id_79>",
|
83 |
+
"<extra_id_80>",
|
84 |
+
"<extra_id_81>",
|
85 |
+
"<extra_id_82>",
|
86 |
+
"<extra_id_83>",
|
87 |
+
"<extra_id_84>",
|
88 |
+
"<extra_id_85>",
|
89 |
+
"<extra_id_86>",
|
90 |
+
"<extra_id_87>",
|
91 |
+
"<extra_id_88>",
|
92 |
+
"<extra_id_89>",
|
93 |
+
"<extra_id_90>",
|
94 |
+
"<extra_id_91>",
|
95 |
+
"<extra_id_92>",
|
96 |
+
"<extra_id_93>",
|
97 |
+
"<extra_id_94>",
|
98 |
+
"<extra_id_95>",
|
99 |
+
"<extra_id_96>",
|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>"
|
103 |
+
],
|
104 |
+
"eos_token": {
|
105 |
+
"content": "</s>",
|
106 |
+
"lstrip": false,
|
107 |
+
"normalized": false,
|
108 |
+
"rstrip": false,
|
109 |
+
"single_word": false
|
110 |
+
},
|
111 |
+
"pad_token": {
|
112 |
+
"content": "<pad>",
|
113 |
+
"lstrip": false,
|
114 |
+
"normalized": false,
|
115 |
+
"rstrip": false,
|
116 |
+
"single_word": false
|
117 |
+
},
|
118 |
+
"unk_token": {
|
119 |
+
"content": "<unk>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false
|
124 |
+
}
|
125 |
+
}
|
spiece.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
3 |
+
size 791656
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,938 @@
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|
1 |
+
{
|
2 |
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"added_tokens_decoder": {
|
3 |
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"0": {
|
4 |
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"content": "<pad>",
|
5 |
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|
6 |
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"normalized": false,
|
7 |
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"rstrip": false,
|
8 |
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|
9 |
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"special": true
|
10 |
+
},
|
11 |
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"1": {
|
12 |
+
"content": "</s>",
|
13 |
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"lstrip": false,
|
14 |
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"normalized": false,
|
15 |
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|
16 |
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|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "<unk>",
|
21 |
+
"lstrip": false,
|
22 |
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"normalized": false,
|
23 |
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|
24 |
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"single_word": false,
|
25 |
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"special": true
|
26 |
+
},
|
27 |
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"32000": {
|
28 |
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"content": "<extra_id_99>",
|
29 |
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"lstrip": false,
|
30 |
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"normalized": false,
|
31 |
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"rstrip": false,
|
32 |
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"single_word": false,
|
33 |
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|
34 |
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},
|
35 |
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"32001": {
|
36 |
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"content": "<extra_id_98>",
|
37 |
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"lstrip": false,
|
38 |
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"normalized": false,
|
39 |
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"rstrip": false,
|
40 |
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"single_word": false,
|
41 |
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"special": true
|
42 |
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},
|
43 |
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"32002": {
|
44 |
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"content": "<extra_id_97>",
|
45 |
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"lstrip": false,
|
46 |
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"normalized": false,
|
47 |
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|
48 |
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"single_word": false,
|
49 |
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|
50 |
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},
|
51 |
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"32003": {
|
52 |
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"content": "<extra_id_96>",
|
53 |
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|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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"32004": {
|
60 |
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"content": "<extra_id_95>",
|
61 |
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|
62 |
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|
63 |
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|
64 |
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|
65 |
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|
66 |
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|
67 |
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"32005": {
|
68 |
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|
69 |
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|
70 |
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|
71 |
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|
72 |
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|
73 |
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|
74 |
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|
75 |
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"32006": {
|
76 |
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|
77 |
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|
78 |
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|
79 |
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|
80 |
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|
81 |
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|
82 |
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|
83 |
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"32007": {
|
84 |
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|
85 |
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|
86 |
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|
928 |
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|
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|
930 |
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|
931 |
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|
932 |
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|
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|
934 |
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|
936 |
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"tokenizer_class": "T5Tokenizer",
|
937 |
+
"unk_token": "<unk>"
|
938 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2404 @@
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