Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +67 -0
- trainer_state.json +89 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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base_model: vaiv/GeM2-Llamion-14B-Chat
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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 0.11.0
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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": "vaiv/GeM2-Llamion-14B-Chat",
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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": [
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36,
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37,
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38,
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39
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],
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"loftq_config": {},
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"lora_alpha": 8,
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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": 6,
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"rank_pattern": {},
|
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"revision": null,
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"target_modules": [
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"k_proj",
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"q_proj",
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"o_proj",
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"v_proj",
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"down_proj",
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"up_proj",
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"gate_proj"
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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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:63320a2207af5e83e060efa4fc905d96dd5116805310374bf0c2bb8ef00ddfe4
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size 9837744
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fad380532daa50dbdcce5a6790e4da60e3cdb501a16d2f86b20b35cabeec2e31
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size 4986170
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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:e4a27cb8a039b9847832994da5c7691172436fefb6e4b7ce77aba82b61283601
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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 sha256:18a8c0696117da4b5e9142d3123977572f4677cd20dc5baa05c0677fcdf08e31
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size 1064
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|pad|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<|pad|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<|begin_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"5": {
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"content": "<|eot_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
|
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},
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"6": {
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"content": "<|start_header_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"7": {
|
47 |
+
"content": "<|end_header_id|>",
|
48 |
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"lstrip": false,
|
49 |
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"normalized": false,
|
50 |
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"rstrip": false,
|
51 |
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"single_word": false,
|
52 |
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"special": true
|
53 |
+
}
|
54 |
+
},
|
55 |
+
"bos_token": "<|begin_of_text|>",
|
56 |
+
"chat_template": "{% 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 %}",
|
57 |
+
"clean_up_tokenization_spaces": false,
|
58 |
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"eos_token": "<|end_of_text|>",
|
59 |
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"legacy": true,
|
60 |
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"model_max_length": 4096,
|
61 |
+
"pad_token": "<|pad|>",
|
62 |
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"padding_side": "right",
|
63 |
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"sp_model_kwargs": {},
|
64 |
+
"spaces_between_special_tokens": false,
|
65 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
66 |
+
"use_default_system_prompt": false
|
67 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,89 @@
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|
3 |
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"best_model_checkpoint": null,
|
4 |
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|
5 |
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"eval_steps": 500,
|
6 |
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"global_step": 800,
|
7 |
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"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
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{
|
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"epoch": 0.001655958137378287,
|
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|
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"learning_rate": 0.00019966890756553004,
|
15 |
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"loss": 2.1972,
|
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"step": 100
|
17 |
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},
|
18 |
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{
|
19 |
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"epoch": 0.003311916274756574,
|
20 |
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|
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|
22 |
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23 |
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"step": 200
|
24 |
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},
|
25 |
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{
|
26 |
+
"epoch": 0.0049678744121348616,
|
27 |
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"grad_norm": 0.23811133205890656,
|
28 |
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"learning_rate": 0.00019900652398151486,
|
29 |
+
"loss": 1.9341,
|
30 |
+
"step": 300
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.006623832549513148,
|
34 |
+
"grad_norm": 0.26714324951171875,
|
35 |
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"learning_rate": 0.00019867533218950728,
|
36 |
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"loss": 1.915,
|
37 |
+
"step": 400
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.008279790686891435,
|
41 |
+
"grad_norm": 0.23645658791065216,
|
42 |
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"learning_rate": 0.0001983441403974997,
|
43 |
+
"loss": 1.8916,
|
44 |
+
"step": 500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.009935748824269723,
|
48 |
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|
49 |
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|
50 |
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|
51 |
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"step": 600
|
52 |
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},
|
53 |
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{
|
54 |
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"epoch": 0.01159170696164801,
|
55 |
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"grad_norm": 0.2687942087650299,
|
56 |
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"learning_rate": 0.00019768175681348456,
|
57 |
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"loss": 1.876,
|
58 |
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"step": 700
|
59 |
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},
|
60 |
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{
|
61 |
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"epoch": 0.013247665099026296,
|
62 |
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|
63 |
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"learning_rate": 0.00019735056502147698,
|
64 |
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|
65 |
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"step": 800
|
66 |
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}
|
67 |
+
],
|
68 |
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"logging_steps": 100,
|
69 |
+
"max_steps": 60388,
|
70 |
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"num_input_tokens_seen": 0,
|
71 |
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"num_train_epochs": 1,
|
72 |
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"save_steps": 800,
|
73 |
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"stateful_callbacks": {
|
74 |
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"TrainerControl": {
|
75 |
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"args": {
|
76 |
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"should_epoch_stop": false,
|
77 |
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"should_evaluate": false,
|
78 |
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"should_log": false,
|
79 |
+
"should_save": true,
|
80 |
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"should_training_stop": false
|
81 |
+
},
|
82 |
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"attributes": {}
|
83 |
+
}
|
84 |
+
},
|
85 |
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"total_flos": 5.53158703054848e+17,
|
86 |
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"train_batch_size": 16,
|
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"trial_name": null,
|
88 |
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"trial_params": null
|
89 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cfa49ba22f4a63390a78495877175aa7e38accecfafe11a699ef0bd78b016bb9
|
3 |
+
size 5112
|