diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..15908e8d6230d90dec2f561bbacce783eb625ed9 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-4711/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-5384/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-6057/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-6730/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..47184fb1491e794474b937328cce0d0158e3876b
--- /dev/null
+++ b/README.md
@@ -0,0 +1,181 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: unsloth/gemma-7b
+model-index:
+- name: gemma_odia_7b_unsloth
+ results: []
+---
+
+
+
+[
](https://github.com/OpenAccess-AI-Collective/axolotl)
+See axolotl config
+
+axolotl version: `0.4.0`
+```yaml
+# use google/gemma-7b if you have access
+base_model: unsloth/gemma-7b
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+# huggingface repo
+datasets:
+ - path: OdiaGenAIdata/culturax-gemma-data
+ type: completion
+val_set_size: 0.1
+output_dir: ./gemma-odia-7b-pretrain-unsloth
+hub_model_id: sam2ai/gemma_odia_7b_unsloth
+
+adapter: qlora
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: gemma-completion-7b-odia-unsloth
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+
+gradient_accumulation_steps: 8
+micro_batch_size: 2
+num_epochs: 10
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: false
+
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+
+
+# gemma_odia_7b_unsloth
+
+This model is a fine-tuned version of [unsloth/gemma-7b](https://huggingface.co/unsloth/gemma-7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9914
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 32
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 39.5782 | 0.0 | 1 | 39.2579 |
+| 7.2511 | 0.25 | 169 | 7.0771 |
+| 4.2519 | 0.5 | 338 | 4.0654 |
+| 3.7348 | 0.75 | 507 | 3.5937 |
+| 3.4573 | 1.0 | 676 | 3.3126 |
+| 3.4299 | 1.24 | 845 | 3.2429 |
+| 3.4908 | 1.49 | 1014 | 3.2063 |
+| 3.3588 | 1.74 | 1183 | 3.1614 |
+| 3.3646 | 1.99 | 1352 | 3.1313 |
+| 3.2672 | 2.23 | 1521 | 3.0885 |
+| 3.2706 | 2.48 | 1690 | 3.0678 |
+| 3.173 | 2.73 | 1859 | 3.0410 |
+| 3.7319 | 2.98 | 2028 | 3.5392 |
+| 3.3142 | 3.22 | 2197 | 3.1610 |
+| 3.2931 | 3.47 | 2366 | 3.1339 |
+| 3.3045 | 3.72 | 2535 | 3.0710 |
+| 3.2423 | 3.97 | 2704 | 3.0920 |
+| 3.2565 | 4.2 | 2873 | 3.0311 |
+| 3.1167 | 4.45 | 3042 | 3.0039 |
+| 3.1624 | 4.71 | 3211 | 3.0108 |
+| 3.1697 | 4.96 | 3380 | 3.1008 |
+| 3.1434 | 5.19 | 3549 | 2.9915 |
+| 3.2301 | 5.44 | 3718 | 3.0033 |
+| 3.1686 | 5.69 | 3887 | 2.9893 |
+| 3.9959 | 5.95 | 4056 | 3.7561 |
+| 3.3066 | 6.18 | 4225 | 3.1076 |
+| 3.2567 | 6.43 | 4394 | 3.0679 |
+| 3.1764 | 6.68 | 4563 | 3.0459 |
+| 3.1848 | 6.93 | 4732 | 3.0342 |
+| 3.181 | 7.17 | 4901 | 3.0279 |
+| 3.1688 | 7.42 | 5070 | 3.0203 |
+| 3.1474 | 7.67 | 5239 | 3.0131 |
+| 3.1672 | 7.92 | 5408 | 3.0080 |
+| 3.1202 | 8.16 | 5577 | 3.0036 |
+| 3.1368 | 8.41 | 5746 | 2.9999 |
+| 3.1104 | 8.66 | 5915 | 2.9968 |
+| 3.1236 | 8.91 | 6084 | 2.9939 |
+| 3.1055 | 9.15 | 6253 | 2.9924 |
+| 3.1563 | 9.4 | 6422 | 2.9918 |
+| 3.1373 | 9.65 | 6591 | 2.9914 |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.4.0.dev20240326+rocm6.0
+- Datasets 2.18.0
+- Tokenizers 0.15.0
\ No newline at end of file
diff --git a/adapter_config.json b/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..35971161ab187cbdc8af6c44079edb2d2b677921
--- /dev/null
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+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "unsloth/gemma-7b",
+ "bias": "none",
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+ "init_lora_weights": true,
+ "layers_pattern": null,
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+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.05,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 32,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "v_proj",
+ "o_proj",
+ "down_proj",
+ "k_proj",
+ "up_proj",
+ "gate_proj",
+ "q_proj"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
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diff --git a/checkpoint-4711/README.md b/checkpoint-4711/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dbeb1c7761226042e1d72de6378a4fa69fdb3f06
--- /dev/null
+++ b/checkpoint-4711/README.md
@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: unsloth/gemma-7b
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **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]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+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
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+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]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[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
\ No newline at end of file
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+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "unsloth/gemma-7b",
+ "bias": "none",
+ "fan_in_fan_out": null,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layers_pattern": null,
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+ "lora_dropout": 0.05,
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+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 32,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "v_proj",
+ "o_proj",
+ "down_proj",
+ "k_proj",
+ "up_proj",
+ "gate_proj",
+ "q_proj"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..c2d16728596a0c84a608b1d8263285cd063e1030
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diff --git a/checkpoint-5384/README.md b/checkpoint-5384/README.md
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+---
+library_name: peft
+base_model: unsloth/gemma-7b
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **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]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+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
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+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]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[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
\ No newline at end of file
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\ No newline at end of file
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diff --git a/checkpoint-5384/trainer_state.json b/checkpoint-5384/trainer_state.json
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diff --git a/checkpoint-6057/README.md b/checkpoint-6057/README.md
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+---
+library_name: peft
+base_model: unsloth/gemma-7b
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **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]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+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
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+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]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[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
\ No newline at end of file
diff --git a/checkpoint-6057/adapter_config.json b/checkpoint-6057/adapter_config.json
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+ "base_model_name_or_path": "unsloth/gemma-7b",
+ "bias": "none",
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+ "megatron_core": "megatron.core",
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+ "down_proj",
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+ "gate_proj",
+ "q_proj"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
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diff --git a/checkpoint-6730/README.md b/checkpoint-6730/README.md
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+---
+library_name: peft
+base_model: unsloth/gemma-7b
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **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]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+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
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+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]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[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
\ No newline at end of file
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+}
\ No newline at end of file
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diff --git a/checkpoint-6730/trainer_state.json b/checkpoint-6730/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e77968f01b02d39612543cbcd4534c6c6a195b0
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diff --git a/checkpoint-6730/training_args.bin b/checkpoint-6730/training_args.bin
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index 0000000000000000000000000000000000000000..6b4dd143e04f5808fbc1160726a8e245b4531254
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diff --git a/special_tokens_map.json b/special_tokens_map.json
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index 0000000000000000000000000000000000000000..8d6368f7e735fbe4781bf6e956b7c6ad0586df80
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diff --git a/tokenizer.json b/tokenizer.json
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index 0000000000000000000000000000000000000000..1451ca400a880c5056ab40cb960930cf827de2de
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