Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +201 -7
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- config.json +33 -0
- generation_config.json +8 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +295 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +28 -0
- tokenizer.json +3 -0
- tokenizer_config.json +2012 -0
- trainer_state.json +2427 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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---
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base_model: google/gemma-2-2b
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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 0.13.2
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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": "google/gemma-2-2b",
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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": 16,
|
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"lora_dropout": 0.1,
|
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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": 64,
|
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"rank_pattern": {},
|
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"revision": null,
|
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"target_modules": [
|
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"q_proj",
|
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"v_proj"
|
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],
|
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"task_type": "CAUSAL_LM",
|
27 |
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"use_dora": false,
|
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"use_rslora": false
|
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}
|
adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d0e0707e43a9e9fe7d2f680b16f042b41e8e8a07c4c7dce34dcf3f2c2d39b95
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size 51132072
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config.json
ADDED
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{
|
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"_name_or_path": "google/gemma-2-2b",
|
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"architectures": [
|
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"Gemma2ForCausalLM"
|
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+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"attn_logit_softcapping": 50.0,
|
9 |
+
"bos_token_id": 2,
|
10 |
+
"cache_implementation": "hybrid",
|
11 |
+
"eos_token_id": 1,
|
12 |
+
"final_logit_softcapping": 30.0,
|
13 |
+
"head_dim": 256,
|
14 |
+
"hidden_act": "gelu_pytorch_tanh",
|
15 |
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"hidden_activation": "gelu_pytorch_tanh",
|
16 |
+
"hidden_size": 2304,
|
17 |
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"initializer_range": 0.02,
|
18 |
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"intermediate_size": 9216,
|
19 |
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"max_position_embeddings": 8192,
|
20 |
+
"model_type": "gemma2",
|
21 |
+
"num_attention_heads": 8,
|
22 |
+
"num_hidden_layers": 26,
|
23 |
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"num_key_value_heads": 4,
|
24 |
+
"pad_token_id": 0,
|
25 |
+
"query_pre_attn_scalar": 256,
|
26 |
+
"rms_norm_eps": 1e-06,
|
27 |
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"rope_theta": 10000.0,
|
28 |
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"sliding_window": 4096,
|
29 |
+
"torch_dtype": "float16",
|
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"transformers_version": "4.46.3",
|
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"use_cache": true,
|
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"vocab_size": 256000
|
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}
|
generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
|
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"cache_implementation": "hybrid",
|
5 |
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"eos_token_id": 1,
|
6 |
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"pad_token_id": 0,
|
7 |
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"transformers_version": "4.46.3"
|
8 |
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}
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model-00001-of-00002.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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size 240691712
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model.safetensors.index.json
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|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<pad>",
|
7 |
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"lstrip": false,
|
8 |
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|
9 |
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|
10 |
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|
11 |
+
"special": true
|
12 |
+
},
|
13 |
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"1": {
|
14 |
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"content": "<eos>",
|
15 |
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|
16 |
+
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|
17 |
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"rstrip": false,
|
18 |
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|
19 |
+
"special": true
|
20 |
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},
|
21 |
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"2": {
|
22 |
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"content": "<bos>",
|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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"special": true
|
28 |
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},
|
29 |
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"3": {
|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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"special": true
|
36 |
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},
|
37 |
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"4": {
|
38 |
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"content": "<mask>",
|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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},
|
45 |
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"5": {
|
46 |
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|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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},
|
53 |
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"6": {
|
54 |
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"content": "[@BOS@]",
|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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61 |
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|
62 |
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|
63 |
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|
64 |
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65 |
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66 |
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|
67 |
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68 |
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|
69 |
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|
70 |
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71 |
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72 |
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74 |
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75 |
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76 |
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77 |
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78 |
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79 |
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80 |
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81 |
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82 |
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83 |
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84 |
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85 |
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86 |
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87 |
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88 |
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90 |
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91 |
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92 |
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93 |
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94 |
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95 |
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96 |
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98 |
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100 |
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101 |
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102 |
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103 |
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104 |
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106 |
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107 |
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108 |
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109 |
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110 |
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111 |
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112 |
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114 |
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116 |
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117 |
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118 |
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124 |
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125 |
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126 |
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132 |
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133 |
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134 |
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135 |
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140 |
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142 |
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143 |
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146 |
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148 |
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150 |
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151 |
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156 |
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158 |
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164 |
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165 |
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166 |
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167 |
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168 |
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171 |
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172 |
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173 |
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174 |
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175 |
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|
176 |
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177 |
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178 |
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179 |
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180 |
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181 |
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182 |
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183 |
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184 |
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187 |
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188 |
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189 |
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190 |
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197 |
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198 |
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206 |
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207 |
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208 |
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220 |
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+
},
|
1998 |
+
"additional_special_tokens": [
|
1999 |
+
"<start_of_turn>",
|
2000 |
+
"<end_of_turn>"
|
2001 |
+
],
|
2002 |
+
"bos_token": "<bos>",
|
2003 |
+
"clean_up_tokenization_spaces": false,
|
2004 |
+
"eos_token": "<eos>",
|
2005 |
+
"model_max_length": 1000000000000000019884624838656,
|
2006 |
+
"pad_token": "<eos>",
|
2007 |
+
"sp_model_kwargs": {},
|
2008 |
+
"spaces_between_special_tokens": false,
|
2009 |
+
"tokenizer_class": "GemmaTokenizer",
|
2010 |
+
"unk_token": "<unk>",
|
2011 |
+
"use_default_system_prompt": false
|
2012 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2427 @@
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0251723f961cec3d43bfad005955168aa7a10cb8822875228569bb1d18b0ace
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3 |
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size 5624
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