Delete sft_output
Browse files- sft_output/checkpoint/checkpoint-30000/README.md +0 -202
- sft_output/checkpoint/checkpoint-30000/adapter_config.json +0 -34
- sft_output/checkpoint/checkpoint-30000/adapter_model.safetensors +0 -3
- sft_output/checkpoint/checkpoint-30000/optimizer.pt +0 -3
- sft_output/checkpoint/checkpoint-30000/rng_state.pth +0 -3
- sft_output/checkpoint/checkpoint-30000/scheduler.pt +0 -3
- sft_output/checkpoint/checkpoint-30000/special_tokens_map.json +0 -34
- sft_output/checkpoint/checkpoint-30000/tokenizer.json +0 -3
- sft_output/checkpoint/checkpoint-30000/tokenizer_config.json +0 -1756
- sft_output/checkpoint/checkpoint-30000/trainer_state.json +0 -501
- sft_output/checkpoint/checkpoint-30000/training_args.bin +0 -3
- sft_output/checkpoint/checkpoint-35000/README.md +0 -202
- sft_output/checkpoint/checkpoint-35000/adapter_config.json +0 -34
- sft_output/checkpoint/checkpoint-35000/adapter_model.safetensors +0 -3
- sft_output/checkpoint/checkpoint-35000/optimizer.pt +0 -3
- sft_output/checkpoint/checkpoint-35000/rng_state.pth +0 -3
- sft_output/checkpoint/checkpoint-35000/scheduler.pt +0 -3
- sft_output/checkpoint/checkpoint-35000/special_tokens_map.json +0 -34
- sft_output/checkpoint/checkpoint-35000/tokenizer.json +0 -3
- sft_output/checkpoint/checkpoint-35000/tokenizer_config.json +0 -1756
- sft_output/checkpoint/checkpoint-35000/trainer_state.json +0 -579
- sft_output/checkpoint/checkpoint-35000/training_args.bin +0 -3
- sft_output/checkpoint/checkpoint-40000/README.md +0 -202
- sft_output/checkpoint/checkpoint-40000/adapter_config.json +0 -34
- sft_output/checkpoint/checkpoint-40000/adapter_model.safetensors +0 -3
- sft_output/checkpoint/checkpoint-40000/optimizer.pt +0 -3
- sft_output/checkpoint/checkpoint-40000/rng_state.pth +0 -3
- sft_output/checkpoint/checkpoint-40000/scheduler.pt +0 -3
- sft_output/checkpoint/checkpoint-40000/special_tokens_map.json +0 -34
- sft_output/checkpoint/checkpoint-40000/tokenizer.json +0 -3
- sft_output/checkpoint/checkpoint-40000/tokenizer_config.json +0 -1756
- sft_output/checkpoint/checkpoint-40000/trainer_state.json +0 -657
- sft_output/checkpoint/checkpoint-40000/training_args.bin +0 -3
- sft_output/final_checkpoint-merged/config.json +0 -29
- sft_output/final_checkpoint-merged/generation_config.json +0 -7
- sft_output/final_checkpoint-merged/model-00001-of-00003.safetensors +0 -3
- sft_output/final_checkpoint-merged/model-00002-of-00003.safetensors +0 -3
- sft_output/final_checkpoint-merged/model-00003-of-00003.safetensors +0 -3
- sft_output/final_checkpoint-merged/model.safetensors.index.json +0 -171
- sft_output/final_checkpoint-merged/special_tokens_map.json +0 -34
- sft_output/final_checkpoint-merged/tokenizer.json +0 -3
- sft_output/final_checkpoint-merged/tokenizer_config.json +0 -1756
- sft_output/final_checkpoint/README.md +0 -202
- sft_output/final_checkpoint/adapter_config.json +0 -34
- sft_output/final_checkpoint/adapter_model.safetensors +0 -3
- sft_output/logs/events.out.tfevents.1716329785.i07.2415307.0 +0 -3
- sft_output/logs/events.out.tfevents.1716329849.i07.2415653.0 +0 -3
- sft_output/logs/events.out.tfevents.1716342522.i07.2415653.1 +0 -3
sft_output/checkpoint/checkpoint-30000/README.md
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---
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library_name: peft
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base_model: google/gemma-2b
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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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- **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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- **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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### 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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[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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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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[More Information Needed]
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### Results
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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 0.11.1
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sft_output/checkpoint/checkpoint-30000/adapter_config.json
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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": "google/gemma-2b",
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"bias": "none",
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"fan_in_fan_out": false,
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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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"o_proj",
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"use_rslora": false
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:d431e78546fc75eb9dc67125fedb7b5bdfd0ea4710196944abfb473d27731294
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size 156926880
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version https://git-lfs.github.com/spec/v1
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oid sha256:767dca398cb7ef9c03a6564a285f71e592a5fde0cbb94586167f6e056cb5ec1a
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size 313998650
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| 1566 |
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| 1590 |
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sft_output/checkpoint/checkpoint-30000/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:4bd43ecf6cdc9c3e371ee169ebbbb9c78e0162f4f2d90bcd7010a53e89508428
|
| 3 |
-
size 5048
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sft_output/checkpoint/checkpoint-35000/README.md
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|
@@ -1,202 +0,0 @@
|
|
| 1 |
-
---
|
| 2 |
-
library_name: peft
|
| 3 |
-
base_model: google/gemma-2b
|
| 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 0.11.1
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|
sft_output/checkpoint/checkpoint-35000/adapter_config.json
DELETED
|
@@ -1,34 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"alpha_pattern": {},
|
| 3 |
-
"auto_mapping": null,
|
| 4 |
-
"base_model_name_or_path": "google/gemma-2b",
|
| 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": 0.05,
|
| 15 |
-
"megatron_config": null,
|
| 16 |
-
"megatron_core": "megatron.core",
|
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| 558 |
-
"logging_steps": 500,
|
| 559 |
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"max_steps": 44158,
|
| 560 |
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"num_input_tokens_seen": 0,
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| 561 |
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"num_train_epochs": 1,
|
| 562 |
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"save_steps": 5000,
|
| 563 |
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"stateful_callbacks": {
|
| 564 |
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"TrainerControl": {
|
| 565 |
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"args": {
|
| 566 |
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"should_epoch_stop": false,
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| 567 |
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"should_evaluate": false,
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| 568 |
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"should_log": false,
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| 569 |
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"should_save": true,
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| 570 |
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"should_training_stop": false
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| 571 |
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},
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| 572 |
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"attributes": {}
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| 573 |
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}
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| 574 |
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},
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| 575 |
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"total_flos": 1.9992229151615386e+17,
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| 576 |
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"train_batch_size": 1,
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| 577 |
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"trial_name": null,
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| 578 |
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| 579 |
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|
sft_output/checkpoint/checkpoint-35000/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:4bd43ecf6cdc9c3e371ee169ebbbb9c78e0162f4f2d90bcd7010a53e89508428
|
| 3 |
-
size 5048
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|
sft_output/checkpoint/checkpoint-40000/README.md
DELETED
|
@@ -1,202 +0,0 @@
|
|
| 1 |
-
---
|
| 2 |
-
library_name: peft
|
| 3 |
-
base_model: google/gemma-2b
|
| 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]
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| 130 |
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| 131 |
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#### Summary
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| 132 |
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| 133 |
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| 134 |
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|
| 135 |
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## Model Examination [optional]
|
| 136 |
-
|
| 137 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
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[More Information Needed]
|
| 140 |
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|
| 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 |
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|
| 147 |
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- **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 |
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## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
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### Model Architecture and Objective
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| 156 |
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| 157 |
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[More Information Needed]
|
| 158 |
-
|
| 159 |
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### Compute Infrastructure
|
| 160 |
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|
| 161 |
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[More Information Needed]
|
| 162 |
-
|
| 163 |
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#### Hardware
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| 164 |
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|
| 165 |
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[More Information Needed]
|
| 166 |
-
|
| 167 |
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#### Software
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| 168 |
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|
| 169 |
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[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
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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. -->
|
| 174 |
-
|
| 175 |
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**BibTeX:**
|
| 176 |
-
|
| 177 |
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[More Information Needed]
|
| 178 |
-
|
| 179 |
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**APA:**
|
| 180 |
-
|
| 181 |
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[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 |
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[More Information Needed]
|
| 188 |
-
|
| 189 |
-
## More Information [optional]
|
| 190 |
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|
| 191 |
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[More Information Needed]
|
| 192 |
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|
| 193 |
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## Model Card Authors [optional]
|
| 194 |
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| 195 |
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[More Information Needed]
|
| 196 |
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|
| 197 |
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## Model Card Contact
|
| 198 |
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|
| 199 |
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[More Information Needed]
|
| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.11.1
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sft_output/checkpoint/checkpoint-40000/adapter_config.json
DELETED
|
@@ -1,34 +0,0 @@
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|
| 1 |
-
{
|
| 2 |
-
"alpha_pattern": {},
|
| 3 |
-
"auto_mapping": null,
|
| 4 |
-
"base_model_name_or_path": "google/gemma-2b",
|
| 5 |
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"bias": "none",
|
| 6 |
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"fan_in_fan_out": false,
|
| 7 |
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"inference_mode": true,
|
| 8 |
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|
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| 14 |
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|
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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"rank_pattern": {},
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| 21 |
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"revision": null,
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| 22 |
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"target_modules": [
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| 23 |
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"o_proj",
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"v_proj",
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| 25 |
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"up_proj",
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| 26 |
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"q_proj",
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| 27 |
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"gate_proj",
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| 28 |
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"k_proj",
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| 29 |
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"down_proj"
|
| 30 |
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],
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| 31 |
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"task_type": "CAUSAL_LM",
|
| 32 |
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"use_dora": false,
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"use_rslora": false
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sft_output/checkpoint/checkpoint-40000/adapter_model.safetensors
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sft_output/checkpoint/checkpoint-40000/special_tokens_map.json
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"spaces_between_special_tokens": false,
|
| 1753 |
-
"tokenizer_class": "GemmaTokenizer",
|
| 1754 |
-
"unk_token": "<unk>",
|
| 1755 |
-
"use_default_system_prompt": false
|
| 1756 |
-
}
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|
sft_output/checkpoint/checkpoint-40000/trainer_state.json
DELETED
|
@@ -1,657 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_metric": null,
|
| 3 |
-
"best_model_checkpoint": null,
|
| 4 |
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"epoch": 0.9058381267267539,
|
| 5 |
-
"eval_steps": 5000,
|
| 6 |
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"global_step": 40000,
|
| 7 |
-
"is_hyper_param_search": false,
|
| 8 |
-
"is_local_process_zero": true,
|
| 9 |
-
"is_world_process_zero": true,
|
| 10 |
-
"log_history": [
|
| 11 |
-
{
|
| 12 |
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"epoch": 0.011322976584084423,
|
| 13 |
-
"grad_norm": 0.8432791233062744,
|
| 14 |
-
"learning_rate": 4.943385117079578e-05,
|
| 15 |
-
"loss": 1.539,
|
| 16 |
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"step": 500
|
| 17 |
-
},
|
| 18 |
-
{
|
| 19 |
-
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-
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|
| 1677 |
-
"209": {
|
| 1678 |
-
"content": "</em>",
|
| 1679 |
-
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|
| 1680 |
-
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|
| 1681 |
-
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|
| 1682 |
-
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|
| 1683 |
-
"special": false
|
| 1684 |
-
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| 1685 |
-
"210": {
|
| 1686 |
-
"content": "</b>",
|
| 1687 |
-
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|
| 1688 |
-
"normalized": false,
|
| 1689 |
-
"rstrip": false,
|
| 1690 |
-
"single_word": false,
|
| 1691 |
-
"special": false
|
| 1692 |
-
},
|
| 1693 |
-
"211": {
|
| 1694 |
-
"content": "</i>",
|
| 1695 |
-
"lstrip": false,
|
| 1696 |
-
"normalized": false,
|
| 1697 |
-
"rstrip": false,
|
| 1698 |
-
"single_word": false,
|
| 1699 |
-
"special": false
|
| 1700 |
-
},
|
| 1701 |
-
"212": {
|
| 1702 |
-
"content": "</u>",
|
| 1703 |
-
"lstrip": false,
|
| 1704 |
-
"normalized": false,
|
| 1705 |
-
"rstrip": false,
|
| 1706 |
-
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|
| 1707 |
-
"special": false
|
| 1708 |
-
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|
| 1709 |
-
"213": {
|
| 1710 |
-
"content": "</s>",
|
| 1711 |
-
"lstrip": false,
|
| 1712 |
-
"normalized": false,
|
| 1713 |
-
"rstrip": false,
|
| 1714 |
-
"single_word": false,
|
| 1715 |
-
"special": false
|
| 1716 |
-
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|
| 1717 |
-
"214": {
|
| 1718 |
-
"content": "</sub>",
|
| 1719 |
-
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|
| 1720 |
-
"normalized": false,
|
| 1721 |
-
"rstrip": false,
|
| 1722 |
-
"single_word": false,
|
| 1723 |
-
"special": false
|
| 1724 |
-
},
|
| 1725 |
-
"215": {
|
| 1726 |
-
"content": "</sup>",
|
| 1727 |
-
"lstrip": false,
|
| 1728 |
-
"normalized": false,
|
| 1729 |
-
"rstrip": false,
|
| 1730 |
-
"single_word": false,
|
| 1731 |
-
"special": false
|
| 1732 |
-
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|
| 1733 |
-
"216": {
|
| 1734 |
-
"content": "</code>",
|
| 1735 |
-
"lstrip": false,
|
| 1736 |
-
"normalized": false,
|
| 1737 |
-
"rstrip": false,
|
| 1738 |
-
"single_word": false,
|
| 1739 |
-
"special": false
|
| 1740 |
-
}
|
| 1741 |
-
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|
| 1742 |
-
"additional_special_tokens": [
|
| 1743 |
-
"<start_of_turn>",
|
| 1744 |
-
"<end_of_turn>"
|
| 1745 |
-
],
|
| 1746 |
-
"bos_token": "<bos>",
|
| 1747 |
-
"clean_up_tokenization_spaces": false,
|
| 1748 |
-
"eos_token": "<eos>",
|
| 1749 |
-
"model_max_length": 1000000000000000019884624838656,
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| 1750 |
-
"pad_token": "<pad>",
|
| 1751 |
-
"sp_model_kwargs": {},
|
| 1752 |
-
"spaces_between_special_tokens": false,
|
| 1753 |
-
"tokenizer_class": "GemmaTokenizer",
|
| 1754 |
-
"unk_token": "<unk>",
|
| 1755 |
-
"use_default_system_prompt": false
|
| 1756 |
-
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sft_output/final_checkpoint/README.md
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|
| 1 |
-
---
|
| 2 |
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library_name: peft
|
| 3 |
-
base_model: google/gemma-2b
|
| 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 0.11.1
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sft_output/final_checkpoint/adapter_config.json
DELETED
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@@ -1,34 +0,0 @@
|
|
| 1 |
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{
|
| 2 |
-
"alpha_pattern": {},
|
| 3 |
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"auto_mapping": null,
|
| 4 |
-
"base_model_name_or_path": "google/gemma-2b",
|
| 5 |
-
"bias": "none",
|
| 6 |
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"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 |
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"lora_alpha": 64,
|
| 14 |
-
"lora_dropout": 0.05,
|
| 15 |
-
"megatron_config": null,
|
| 16 |
-
"megatron_core": "megatron.core",
|
| 17 |
-
"modules_to_save": null,
|
| 18 |
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"peft_type": "LORA",
|
| 19 |
-
"r": 32,
|
| 20 |
-
"rank_pattern": {},
|
| 21 |
-
"revision": null,
|
| 22 |
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"target_modules": [
|
| 23 |
-
"o_proj",
|
| 24 |
-
"v_proj",
|
| 25 |
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"up_proj",
|
| 26 |
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"q_proj",
|
| 27 |
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"gate_proj",
|
| 28 |
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"k_proj",
|
| 29 |
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"down_proj"
|
| 30 |
-
],
|
| 31 |
-
"task_type": "CAUSAL_LM",
|
| 32 |
-
"use_dora": false,
|
| 33 |
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"use_rslora": false
|
| 34 |
-
}
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