Upload 9 files
Browse files- README.md +202 -3
- adapter_config.json +31 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2679 -0
- trainer_state.json +1083 -0
- training_args.bin +3 -0
README.md
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---
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base_model: meta-llama/Llama-3.2-1B
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.12.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-3.2-1B",
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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": 250,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"self_attn.qkv_proj",
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"mlp.down_proj",
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"mlp.gate_up_proj",
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"self_attn.o_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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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7d773d3e8e59d12c141561bcc3cec6274d4ada31fd7fea13c93584cb72fb574
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size 14180
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:90c7aef01a5a33da141fb2503cca1a849f5fec98e75105acf9cbf8a4663f0578
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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": "<|end_of_text|>"
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}
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tokenizer.json
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tokenizer_config.json
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"7": {
|
| 4 |
+
"content": "(",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": true,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": false
|
| 10 |
+
},
|
| 11 |
+
"8": {
|
| 12 |
+
"content": ")",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": true,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": false
|
| 18 |
+
},
|
| 19 |
+
"595": {
|
| 20 |
+
"content": "))",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": true,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": false
|
| 26 |
+
},
|
| 27 |
+
"1209": {
|
| 28 |
+
"content": "((",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": false
|
| 34 |
+
},
|
| 35 |
+
"6774": {
|
| 36 |
+
"content": "(((",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": true,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": false
|
| 42 |
+
},
|
| 43 |
+
"7861": {
|
| 44 |
+
"content": ")))",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": true,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": false
|
| 50 |
+
},
|
| 51 |
+
"24457": {
|
| 52 |
+
"content": "),(",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": true,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": false
|
| 58 |
+
},
|
| 59 |
+
"128000": {
|
| 60 |
+
"content": "<|begin_of_text|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
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| 1940 |
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| 1956 |
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"single_word": false,
|
| 2537 |
+
"special": false
|
| 2538 |
+
},
|
| 2539 |
+
"128310": {
|
| 2540 |
+
"content": "7,7,7,7,7,7,7",
|
| 2541 |
+
"lstrip": false,
|
| 2542 |
+
"normalized": true,
|
| 2543 |
+
"rstrip": false,
|
| 2544 |
+
"single_word": false,
|
| 2545 |
+
"special": false
|
| 2546 |
+
},
|
| 2547 |
+
"128311": {
|
| 2548 |
+
"content": "7,7,7,7,7,7,7,7",
|
| 2549 |
+
"lstrip": false,
|
| 2550 |
+
"normalized": true,
|
| 2551 |
+
"rstrip": false,
|
| 2552 |
+
"single_word": false,
|
| 2553 |
+
"special": false
|
| 2554 |
+
},
|
| 2555 |
+
"128312": {
|
| 2556 |
+
"content": "8,8",
|
| 2557 |
+
"lstrip": false,
|
| 2558 |
+
"normalized": true,
|
| 2559 |
+
"rstrip": false,
|
| 2560 |
+
"single_word": false,
|
| 2561 |
+
"special": false
|
| 2562 |
+
},
|
| 2563 |
+
"128313": {
|
| 2564 |
+
"content": "8,8,8",
|
| 2565 |
+
"lstrip": false,
|
| 2566 |
+
"normalized": true,
|
| 2567 |
+
"rstrip": false,
|
| 2568 |
+
"single_word": false,
|
| 2569 |
+
"special": false
|
| 2570 |
+
},
|
| 2571 |
+
"128314": {
|
| 2572 |
+
"content": "8,8,8,8",
|
| 2573 |
+
"lstrip": false,
|
| 2574 |
+
"normalized": true,
|
| 2575 |
+
"rstrip": false,
|
| 2576 |
+
"single_word": false,
|
| 2577 |
+
"special": false
|
| 2578 |
+
},
|
| 2579 |
+
"128315": {
|
| 2580 |
+
"content": "8,8,8,8,8",
|
| 2581 |
+
"lstrip": false,
|
| 2582 |
+
"normalized": true,
|
| 2583 |
+
"rstrip": false,
|
| 2584 |
+
"single_word": false,
|
| 2585 |
+
"special": false
|
| 2586 |
+
},
|
| 2587 |
+
"128316": {
|
| 2588 |
+
"content": "8,8,8,8,8,8",
|
| 2589 |
+
"lstrip": false,
|
| 2590 |
+
"normalized": true,
|
| 2591 |
+
"rstrip": false,
|
| 2592 |
+
"single_word": false,
|
| 2593 |
+
"special": false
|
| 2594 |
+
},
|
| 2595 |
+
"128317": {
|
| 2596 |
+
"content": "8,8,8,8,8,8,8",
|
| 2597 |
+
"lstrip": false,
|
| 2598 |
+
"normalized": true,
|
| 2599 |
+
"rstrip": false,
|
| 2600 |
+
"single_word": false,
|
| 2601 |
+
"special": false
|
| 2602 |
+
},
|
| 2603 |
+
"128318": {
|
| 2604 |
+
"content": "8,8,8,8,8,8,8,8",
|
| 2605 |
+
"lstrip": false,
|
| 2606 |
+
"normalized": true,
|
| 2607 |
+
"rstrip": false,
|
| 2608 |
+
"single_word": false,
|
| 2609 |
+
"special": false
|
| 2610 |
+
},
|
| 2611 |
+
"128319": {
|
| 2612 |
+
"content": "9,9",
|
| 2613 |
+
"lstrip": false,
|
| 2614 |
+
"normalized": true,
|
| 2615 |
+
"rstrip": false,
|
| 2616 |
+
"single_word": false,
|
| 2617 |
+
"special": false
|
| 2618 |
+
},
|
| 2619 |
+
"128320": {
|
| 2620 |
+
"content": "9,9,9",
|
| 2621 |
+
"lstrip": false,
|
| 2622 |
+
"normalized": true,
|
| 2623 |
+
"rstrip": false,
|
| 2624 |
+
"single_word": false,
|
| 2625 |
+
"special": false
|
| 2626 |
+
},
|
| 2627 |
+
"128321": {
|
| 2628 |
+
"content": "9,9,9,9",
|
| 2629 |
+
"lstrip": false,
|
| 2630 |
+
"normalized": true,
|
| 2631 |
+
"rstrip": false,
|
| 2632 |
+
"single_word": false,
|
| 2633 |
+
"special": false
|
| 2634 |
+
},
|
| 2635 |
+
"128322": {
|
| 2636 |
+
"content": "9,9,9,9,9",
|
| 2637 |
+
"lstrip": false,
|
| 2638 |
+
"normalized": true,
|
| 2639 |
+
"rstrip": false,
|
| 2640 |
+
"single_word": false,
|
| 2641 |
+
"special": false
|
| 2642 |
+
},
|
| 2643 |
+
"128323": {
|
| 2644 |
+
"content": "9,9,9,9,9,9",
|
| 2645 |
+
"lstrip": false,
|
| 2646 |
+
"normalized": true,
|
| 2647 |
+
"rstrip": false,
|
| 2648 |
+
"single_word": false,
|
| 2649 |
+
"special": false
|
| 2650 |
+
},
|
| 2651 |
+
"128324": {
|
| 2652 |
+
"content": "9,9,9,9,9,9,9",
|
| 2653 |
+
"lstrip": false,
|
| 2654 |
+
"normalized": true,
|
| 2655 |
+
"rstrip": false,
|
| 2656 |
+
"single_word": false,
|
| 2657 |
+
"special": false
|
| 2658 |
+
},
|
| 2659 |
+
"128325": {
|
| 2660 |
+
"content": "9,9,9,9,9,9,9,9",
|
| 2661 |
+
"lstrip": false,
|
| 2662 |
+
"normalized": true,
|
| 2663 |
+
"rstrip": false,
|
| 2664 |
+
"single_word": false,
|
| 2665 |
+
"special": false
|
| 2666 |
+
}
|
| 2667 |
+
},
|
| 2668 |
+
"bos_token": "<|begin_of_text|>",
|
| 2669 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
| 2670 |
+
"clean_up_tokenization_spaces": true,
|
| 2671 |
+
"eos_token": "<|end_of_text|>",
|
| 2672 |
+
"model_input_names": [
|
| 2673 |
+
"input_ids",
|
| 2674 |
+
"attention_mask"
|
| 2675 |
+
],
|
| 2676 |
+
"model_max_length": 10,
|
| 2677 |
+
"pad_token": "<|end_of_text|>",
|
| 2678 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2679 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1083 @@
|
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