Upload 11 files

checkpoint-500/README.md

@@ -0,0 +1,202 @@
+---
+base_model: NousResearch/Llama-2-7b-chat-hf
+library_name: peft
+---
+
+# 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 0.13.2

checkpoint-500/adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-500/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8e3340167502f2b41f4de90f4c3a53c964f4bc187b3f7fd63df370aec634d98
+size 134235048

checkpoint-500/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcf2a037e3398760b7b14ac4d5c81a12255a5ff5a28f81b1ea7c6b44f46b6bcf
+size 68312954

checkpoint-500/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92f29cd701c5a72a5a0f87abaff2371b8a7db57ea8841275e79535daba928715
+size 14244

checkpoint-500/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52c4adb36f7c6ddb151663ae4716f16b16c64d8383b00e12592d7abb8b5accfc
+size 1064

checkpoint-500/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-500/tokenizer_config.json

@@ -0,0 +1,49 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-500/trainer_state.json

@@ -0,0 +1,173 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.001779061865097297,
+  "eval_steps": 500,
+  "global_step": 500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 8.895309325486485e-05,
+      "grad_norm": 0.5721328258514404,
+      "learning_rate": 2.5e-05,
+      "loss": 2.8022,
+      "step": 25
+    },
+    {
+      "epoch": 0.0001779061865097297,
+      "grad_norm": 0.8923015594482422,
+      "learning_rate": 2.5e-05,
+      "loss": 2.7907,
+      "step": 50
+    },
+    {
+      "epoch": 0.0002668592797645945,
+      "grad_norm": 0.4010128676891327,
+      "learning_rate": 2.5e-05,
+      "loss": 2.2071,
+      "step": 75
+    },
+    {
+      "epoch": 0.0003558123730194594,
+      "grad_norm": 1.1923198699951172,
+      "learning_rate": 2.5e-05,
+      "loss": 2.0296,
+      "step": 100
+    },
+    {
+      "epoch": 0.00044476546627432423,
+      "grad_norm": 0.44945457577705383,
+      "learning_rate": 2.5e-05,
+      "loss": 1.6782,
+      "step": 125
+    },
+    {
+      "epoch": 0.000533718559529189,
+      "grad_norm": 1.238482117652893,
+      "learning_rate": 2.5e-05,
+      "loss": 1.3948,
+      "step": 150
+    },
+    {
+      "epoch": 0.0006226716527840539,
+      "grad_norm": 1.2721318006515503,
+      "learning_rate": 2.5e-05,
+      "loss": 1.4995,
+      "step": 175
+    },
+    {
+      "epoch": 0.0007116247460389188,
+      "grad_norm": 0.647321343421936,
+      "learning_rate": 2.5e-05,
+      "loss": 1.5624,
+      "step": 200
+    },
+    {
+      "epoch": 0.0008005778392937836,
+      "grad_norm": 2.433274984359741,
+      "learning_rate": 2.5e-05,
+      "loss": 1.6035,
+      "step": 225
+    },
+    {
+      "epoch": 0.0008895309325486485,
+      "grad_norm": 0.5926241278648376,
+      "learning_rate": 2.5e-05,
+      "loss": 1.4234,
+      "step": 250
+    },
+    {
+      "epoch": 0.0009784840258035134,
+      "grad_norm": 1.6820074319839478,
+      "learning_rate": 2.5e-05,
+      "loss": 1.1803,
+      "step": 275
+    },
+    {
+      "epoch": 0.001067437119058378,
+      "grad_norm": 1.5319762229919434,
+      "learning_rate": 2.5e-05,
+      "loss": 1.3767,
+      "step": 300
+    },
+    {
+      "epoch": 0.001156390212313243,
+      "grad_norm": 0.5725632309913635,
+      "learning_rate": 2.5e-05,
+      "loss": 1.245,
+      "step": 325
+    },
+    {
+      "epoch": 0.0012453433055681078,
+      "grad_norm": 0.7384375929832458,
+      "learning_rate": 2.5e-05,
+      "loss": 1.2259,
+      "step": 350
+    },
+    {
+      "epoch": 0.0013342963988229727,
+      "grad_norm": 0.5739320516586304,
+      "learning_rate": 2.5e-05,
+      "loss": 1.2383,
+      "step": 375
+    },
+    {
+      "epoch": 0.0014232494920778376,
+      "grad_norm": 0.962674617767334,
+      "learning_rate": 2.5e-05,
+      "loss": 1.2162,
+      "step": 400
+    },
+    {
+      "epoch": 0.0015122025853327023,
+      "grad_norm": 1.2786195278167725,
+      "learning_rate": 2.5e-05,
+      "loss": 1.224,
+      "step": 425
+    },
+    {
+      "epoch": 0.0016011556785875672,
+      "grad_norm": 1.3110697269439697,
+      "learning_rate": 2.5e-05,
+      "loss": 1.3172,
+      "step": 450
+    },
+    {
+      "epoch": 0.001690108771842432,
+      "grad_norm": 0.6006544828414917,
+      "learning_rate": 2.5e-05,
+      "loss": 1.3636,
+      "step": 475
+    },
+    {
+      "epoch": 0.001779061865097297,
+      "grad_norm": 0.6102003455162048,
+      "learning_rate": 2.5e-05,
+      "loss": 1.1117,
+      "step": 500
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 500,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.0200419401728e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-500/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2dd63cd40626facaab305a42f6defc2bbcbeebadb21704948ac692f5f455b95
+size 5432