Training in progress, step 25, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +33 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state_0.pth +3 -0
- last-checkpoint/rng_state_1.pth +3 -0
- last-checkpoint/rng_state_2.pth +3 -0
- last-checkpoint/rng_state_3.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +29 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +124 -0
- last-checkpoint/trainer_state.json +233 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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---
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base_model: katuni4ka/tiny-random-falcon-40b
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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 0.13.2
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last-checkpoint/adapter_config.json
ADDED
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "katuni4ka/tiny-random-falcon-40b",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense",
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"query_key_value",
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"v_proj",
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"dense_4h_to_h",
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"q_proj",
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"dense_h_to_4h"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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last-checkpoint/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 493712
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last-checkpoint/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/rng_state_0.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/rng_state_2.pth
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last-checkpoint/rng_state_3.pth
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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},
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"pad_token": {
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"rstrip": false,
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}
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last-checkpoint/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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last-checkpoint/tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": ">>TITLE<<",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": ">>ABSTRACT<<",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": ">>INTRODUCTION<<",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": ">>SUMMARY<<",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"4": {
|
37 |
+
"content": ">>COMMENT<<",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"5": {
|
45 |
+
"content": ">>ANSWER<<",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"6": {
|
53 |
+
"content": ">>QUESTION<<",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"7": {
|
61 |
+
"content": ">>DOMAIN<<",
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+
"lstrip": false,
|
63 |
+
"normalized": false,
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64 |
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"rstrip": false,
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65 |
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|
66 |
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"special": true
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67 |
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},
|
68 |
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"8": {
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69 |
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"content": ">>PREFIX<<",
|
70 |
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"lstrip": false,
|
71 |
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"normalized": false,
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72 |
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"rstrip": false,
|
73 |
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|
74 |
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"special": true
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75 |
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},
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76 |
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"9": {
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77 |
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"content": ">>SUFFIX<<",
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"lstrip": false,
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79 |
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"normalized": false,
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80 |
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"rstrip": false,
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|
82 |
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"special": true
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83 |
+
},
|
84 |
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"10": {
|
85 |
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"content": ">>MIDDLE<<",
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86 |
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"lstrip": false,
|
87 |
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"normalized": false,
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88 |
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"rstrip": false,
|
89 |
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"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"11": {
|
93 |
+
"content": "<|endoftext|>",
|
94 |
+
"lstrip": false,
|
95 |
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"normalized": false,
|
96 |
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"rstrip": false,
|
97 |
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"single_word": false,
|
98 |
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"special": true
|
99 |
+
}
|
100 |
+
},
|
101 |
+
"additional_special_tokens": [
|
102 |
+
">>TITLE<<",
|
103 |
+
">>ABSTRACT<<",
|
104 |
+
">>INTRODUCTION<<",
|
105 |
+
">>SUMMARY<<",
|
106 |
+
">>COMMENT<<",
|
107 |
+
">>ANSWER<<",
|
108 |
+
">>QUESTION<<",
|
109 |
+
">>DOMAIN<<",
|
110 |
+
">>PREFIX<<",
|
111 |
+
">>SUFFIX<<",
|
112 |
+
">>MIDDLE<<"
|
113 |
+
],
|
114 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
115 |
+
"clean_up_tokenization_spaces": false,
|
116 |
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"eos_token": "<|endoftext|>",
|
117 |
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"model_input_names": [
|
118 |
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"input_ids",
|
119 |
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"attention_mask"
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120 |
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],
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121 |
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"model_max_length": 2048,
|
122 |
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"pad_token": "<|endoftext|>",
|
123 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
124 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,233 @@
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"num_train_epochs": 1,
|
207 |
+
"save_steps": 25,
|
208 |
+
"stateful_callbacks": {
|
209 |
+
"EarlyStoppingCallback": {
|
210 |
+
"args": {
|
211 |
+
"early_stopping_patience": 1,
|
212 |
+
"early_stopping_threshold": 0.0
|
213 |
+
},
|
214 |
+
"attributes": {
|
215 |
+
"early_stopping_patience_counter": 0
|
216 |
+
}
|
217 |
+
},
|
218 |
+
"TrainerControl": {
|
219 |
+
"args": {
|
220 |
+
"should_epoch_stop": false,
|
221 |
+
"should_evaluate": false,
|
222 |
+
"should_log": false,
|
223 |
+
"should_save": true,
|
224 |
+
"should_training_stop": false
|
225 |
+
},
|
226 |
+
"attributes": {}
|
227 |
+
}
|
228 |
+
},
|
229 |
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"total_flos": 19055561932800.0,
|
230 |
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"train_batch_size": 2,
|
231 |
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"trial_name": null,
|
232 |
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"trial_params": null
|
233 |
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}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6ab9966eebd5e2f6e64d9b17dfafba07b5f2b749860ebe829056479ff47bf4dd
|
3 |
+
size 6840
|