Training in progress, step 900

README.md

@@ -1,201 +1,80 @@
 ---
-library_name: transformers
-tags: []
+library_name: peft
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- David-Xu/astronomy-stack-dpo-20-percent
+base_model: meta-llama/Llama-2-7b-chat-hf
+model-index:
+- name: cira-7b-dpo-lora-merge
+  results: []
 ---
 
-# Model Card for Model ID
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
 
-<!-- Provide a quick summary of what the model is/does. -->
+# cira-7b-dpo-lora-merge
 
+This model is a fine-tuned version of [David-Xu/llama-2-7b-cira-sft-v0.1-merge](https://huggingface.co/David-Xu/llama-2-7b-cira-sft-v0.1-merge) on the David-Xu/astronomy-stack-dpo-20-percent dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6183
+- Rewards/chosen: 0.5535
+- Rewards/rejected: 0.3385
+- Rewards/accuracies: 0.6784
+- Rewards/margins: 0.2150
+- Logps/rejected: -652.2422
+- Logps/chosen: -795.1126
+- Logits/rejected: -1.1812
+- Logits/chosen: -1.0305
 
+## Model description
 
-## Model Details
+More information needed
 
-### Model Description
+## Intended uses & limitations
 
-<!-- Provide a longer summary of what this model is. -->
+More information needed
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+## Training and evaluation data
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+More information needed
 
-### Model Sources [optional]
+## Training procedure
 
-<!-- Provide the basic links for the model. -->
+### Training hyperparameters
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
 
-## Uses
+### Training results
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
+|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
+| 0.6618        | 0.11  | 100  | -0.8082       | -1.0029         | -823.6102    | -665.3923      | 0.6664          | 0.6432             | 0.2685         | 0.0615          | 0.2070           |
+| 0.6079        | 0.22  | 200  | -1.0530       | -1.2188         | -794.3279    | -642.6389      | 0.6463          | 0.6508             | 0.5613         | 0.1268          | 0.4345           |
+| 0.6029        | 0.33  | 300  | -1.0367       | -1.1965         | -793.2078    | -644.8513      | 0.6360          | 0.6558             | 0.5725         | 0.1601          | 0.4124           |
+| 0.6123        | 0.45  | 400  | -1.1220       | -1.2658         | -787.7750    | -641.9633      | 0.6291          | 0.6608             | 0.6269         | 0.1856          | 0.4413           |
+| 0.5596        | 0.56  | 500  | -1.0852       | -1.2330         | -790.7928    | -646.7930      | 0.6230          | 0.6683             | 0.5967         | 0.2037          | 0.3930           |
+| 0.5382        | 0.67  | 600  | -1.0547       | -1.2034         | -793.2486    | -650.0926      | 0.6199          | 0.6709             | 0.5721         | 0.2121          | 0.3600           |
+| 0.5952        | 0.78  | 700  | -1.0324       | -1.1827         | -794.9604    | -652.0420      | 0.6186          | 0.6784             | 0.5550         | 0.2145          | 0.3405           |
+| 0.5792        | 0.89  | 800  | -1.0308       | -1.1812         | -795.125     | -652.2705      | 0.6182          | 0.6784             | 0.5534         | 0.2151          | 0.3382           |
 
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- 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. -->
-
-[More Information Needed]
-
-### Training Procedure 
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
 
+### Framework versions
 
+- PEFT 0.9.0
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2

adapter_config.json

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     "o_proj",
+    "k_proj",
+    "down_proj",
+    "up_proj",
     "v_proj"
   ],
   "task_type": "CAUSAL_LM",

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all_results.json

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config.json

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+  "_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "model_type": "llama",
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+  "vocab_size": 32000
+}

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