sam2ai
/

gemma_odia_2b_unsloth

@@ -1,202 +1,181 @@
 ---
 library_name: peft
 base_model: unsloth/gemma-2b
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-- **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]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### 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

 ---
+license: apache-2.0
 library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
 base_model: unsloth/gemma-2b
+model-index:
+- name: gemma_odia_2b_unsloth
+  results: []
 ---
+<!-- 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. -->
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+axolotl version: `0.4.0`
+```yaml
+# use google/gemma-7b if you have access
+base_model: unsloth/gemma-2b
+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-2b-pretrain-unsloth
+hub_model_id: sam2ai/gemma_odia_2b_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-2b-odia-unsloth
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+gradient_accumulation_steps: 3
+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:
+```
+</details><br>
+# gemma_odia_2b_unsloth
+This model is a fine-tuned version of [unsloth/gemma-2b](https://huggingface.co/unsloth/gemma-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4007
+## 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: 3
+- total_train_batch_size: 48
+- 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: 87
+- num_epochs: 10
+### Training results
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 48.3499       | 0.0   | 1     | 48.2901         |
+| 22.3743       | 0.25  | 449   | 22.4176         |
+| 22.3342       | 0.5   | 898   | 22.3606         |
+| 9.2934        | 0.75  | 1347  | 9.2611          |
+| 3.8237        | 1.0   | 1796  | 3.5233          |
+| 4.7071        | 1.24  | 2245  | 4.3919          |
+| 5.0601        | 1.49  | 2694  | 4.8608          |
+| 3.966         | 1.74  | 3143  | 3.7664          |
+| 3.7972        | 1.99  | 3592  | 3.6383          |
+| 3.802         | 2.22  | 4041  | 3.4831          |
+| 3.7412        | 2.47  | 4490  | 3.4955          |
+| 3.6174        | 2.72  | 4939  | 3.4462          |
+| 3.6126        | 2.97  | 5388  | 3.3908          |
+| 3.5759        | 3.2   | 5837  | 3.3827          |
+| 3.4854        | 3.45  | 6286  | 3.3748          |
+| 3.4987        | 3.7   | 6735  | 3.2868          |
+| 14.4221       | 3.95  | 7184  | 14.0660         |
+| 16.2072       | 4.19  | 7633  | 15.8277         |
+| 3.5762        | 4.44  | 8082  | 3.3616          |
+| 15.155        | 4.69  | 8531  | 15.1050         |
+| 3.7657        | 4.94  | 8980  | 3.6526          |
+| 5.0469        | 5.17  | 9429  | 4.8438          |
+| 4.0484        | 5.42  | 9878  | 3.8946          |
+| 4.0601        | 5.67  | 10327 | 3.8040          |
+| 3.7711        | 5.92  | 10776 | 3.5799          |
+| 3.6364        | 6.16  | 11225 | 3.4930          |
+| 3.5855        | 6.41  | 11674 | 3.4586          |
+| 3.5484        | 6.66  | 12123 | 3.4197          |
+| 3.8341        | 6.91  | 12572 | 3.6314          |
+| 3.5392        | 7.14  | 13021 | 3.4121          |
+| 3.6463        | 7.39  | 13470 | 3.3959          |
+| 3.6237        | 7.64  | 13919 | 3.4071          |
+| 3.542         | 7.89  | 14368 | 3.4076          |
+| 3.5737        | 8.13  | 14817 | 3.4041          |
+| 3.6167        | 8.38  | 15266 | 3.4153          |
+| 3.6356        | 8.63  | 15715 | 3.4068          |
+| 3.5233        | 8.88  | 16164 | 3.4054          |
+| 3.5382        | 9.11  | 16613 | 3.4019          |
+| 3.5788        | 9.36  | 17062 | 3.4008          |
+| 3.7003        | 9.61  | 17511 | 3.4007          |
 ### 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

adapter_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:49a6cedc40c2eaf88fd35f53f7f1dd65c264be255a76c41bbde85eb5e2cc152a
 size 156984186

 version https://git-lfs.github.com/spec/v1
+oid sha256:1f733bd8aa266d57af32439ac2f9c20bbe501490f4d67251fbd59833e9eadd29
 size 156984186