Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: meta-llama/Llama-2-7b-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 0.11.1

adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-7b-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": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "q_proj",
+    "v_proj",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a469fb6351e27e77c46d42a7af878f2ab23eacc1b37b5f7afc7cf977c57fa5a
+size 67143296

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adf9d89d53279b00de2d5c65eacb5f94f6d2284e8aab85b4ca11f812811ccd91
+size 134433530

rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5b9b39e310fb5c37f6032c9e1ea736f52b92df752aa0c0e217f4430ebb9a0db
+size 14448

rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af1edb13a35c3ee1bf2da4f29d5a1348cb0d6083fe6658a8924ddf3340df4e99
+size 14448

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2acc2831976eb83f0a7639cb831a6075f7eeb873df48217bfeae8d21c5cdd039
+size 1064

special_tokens_map.json

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

tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

trainer_state.json

@@ -0,0 +1,342 @@
+{
+  "best_metric": 0.6555557250976562,
+  "best_model_checkpoint": "llama2_short/checkpoint-500",
+  "epoch": 4.761904761904762,
+  "eval_steps": 25,
+  "global_step": 500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.23809523809523808,
+      "grad_norm": 0.09585642069578171,
+      "learning_rate": 9.986018985905901e-05,
+      "loss": 0.8756,
+      "step": 25
+    },
+    {
+      "epoch": 0.23809523809523808,
+      "eval_loss": 0.8215582370758057,
+      "eval_runtime": 31.8561,
+      "eval_samples_per_second": 3.484,
+      "eval_steps_per_second": 0.439,
+      "step": 25
+    },
+    {
+      "epoch": 0.47619047619047616,
+      "grad_norm": 0.09733700007200241,
+      "learning_rate": 9.944154131125642e-05,
+      "loss": 0.789,
+      "step": 50
+    },
+    {
+      "epoch": 0.47619047619047616,
+      "eval_loss": 0.7655627131462097,
+      "eval_runtime": 31.8837,
+      "eval_samples_per_second": 3.481,
+      "eval_steps_per_second": 0.439,
+      "step": 50
+    },
+    {
+      "epoch": 0.7142857142857143,
+      "grad_norm": 0.11074452102184296,
+      "learning_rate": 9.874639560909117e-05,
+      "loss": 0.759,
+      "step": 75
+    },
+    {
+      "epoch": 0.7142857142857143,
+      "eval_loss": 0.7467875480651855,
+      "eval_runtime": 31.8741,
+      "eval_samples_per_second": 3.482,
+      "eval_steps_per_second": 0.439,
+      "step": 75
+    },
+    {
+      "epoch": 0.9523809523809523,
+      "grad_norm": 0.10002691298723221,
+      "learning_rate": 9.777864028930705e-05,
+      "loss": 0.7402,
+      "step": 100
+    },
+    {
+      "epoch": 0.9523809523809523,
+      "eval_loss": 0.7353290915489197,
+      "eval_runtime": 31.8697,
+      "eval_samples_per_second": 3.483,
+      "eval_steps_per_second": 0.439,
+      "step": 100
+    },
+    {
+      "epoch": 1.1904761904761905,
+      "grad_norm": 0.12271334230899811,
+      "learning_rate": 9.654368743221022e-05,
+      "loss": 0.7267,
+      "step": 125
+    },
+    {
+      "epoch": 1.1904761904761905,
+      "eval_loss": 0.7255786657333374,
+      "eval_runtime": 31.8838,
+      "eval_samples_per_second": 3.481,
+      "eval_steps_per_second": 0.439,
+      "step": 125
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 0.15203851461410522,
+      "learning_rate": 9.504844339512095e-05,
+      "loss": 0.7228,
+      "step": 150
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "eval_loss": 0.7192813754081726,
+      "eval_runtime": 31.8619,
+      "eval_samples_per_second": 3.484,
+      "eval_steps_per_second": 0.439,
+      "step": 150
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 0.1312723308801651,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 0.7173,
+      "step": 175
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "eval_loss": 0.7122732400894165,
+      "eval_runtime": 31.8673,
+      "eval_samples_per_second": 3.483,
+      "eval_steps_per_second": 0.439,
+      "step": 175
+    },
+    {
+      "epoch": 1.9047619047619047,
+      "grad_norm": 0.1437642127275467,
+      "learning_rate": 9.131193871579975e-05,
+      "loss": 0.7194,
+      "step": 200
+    },
+    {
+      "epoch": 1.9047619047619047,
+      "eval_loss": 0.7064856886863708,
+      "eval_runtime": 31.8744,
+      "eval_samples_per_second": 3.482,
+      "eval_steps_per_second": 0.439,
+      "step": 200
+    },
+    {
+      "epoch": 2.142857142857143,
+      "grad_norm": 0.16143007576465607,
+      "learning_rate": 8.90915741234015e-05,
+      "loss": 0.6987,
+      "step": 225
+    },
+    {
+      "epoch": 2.142857142857143,
+      "eval_loss": 0.7001689076423645,
+      "eval_runtime": 31.8599,
+      "eval_samples_per_second": 3.484,
+      "eval_steps_per_second": 0.439,
+      "step": 225
+    },
+    {
+      "epoch": 2.380952380952381,
+      "grad_norm": 0.1549287736415863,
+      "learning_rate": 8.665259359149132e-05,
+      "loss": 0.6941,
+      "step": 250
+    },
+    {
+      "epoch": 2.380952380952381,
+      "eval_loss": 0.6950200200080872,
+      "eval_runtime": 31.9601,
+      "eval_samples_per_second": 3.473,
+      "eval_steps_per_second": 0.438,
+      "step": 250
+    },
+    {
+      "epoch": 2.619047619047619,
+      "grad_norm": 0.15042544901371002,
+      "learning_rate": 8.400863688854597e-05,
+      "loss": 0.6987,
+      "step": 275
+    },
+    {
+      "epoch": 2.619047619047619,
+      "eval_loss": 0.6901896595954895,
+      "eval_runtime": 31.9342,
+      "eval_samples_per_second": 3.476,
+      "eval_steps_per_second": 0.438,
+      "step": 275
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 0.17507144808769226,
+      "learning_rate": 8.117449009293668e-05,
+      "loss": 0.6953,
+      "step": 300
+    },
+    {
+      "epoch": 2.857142857142857,
+      "eval_loss": 0.6860001087188721,
+      "eval_runtime": 31.8997,
+      "eval_samples_per_second": 3.48,
+      "eval_steps_per_second": 0.439,
+      "step": 300
+    },
+    {
+      "epoch": 3.0952380952380953,
+      "grad_norm": 0.16489411890506744,
+      "learning_rate": 7.81660029031811e-05,
+      "loss": 0.6832,
+      "step": 325
+    },
+    {
+      "epoch": 3.0952380952380953,
+      "eval_loss": 0.681731104850769,
+      "eval_runtime": 31.8876,
+      "eval_samples_per_second": 3.481,
+      "eval_steps_per_second": 0.439,
+      "step": 325
+    },
+    {
+      "epoch": 3.3333333333333335,
+      "grad_norm": 0.17146223783493042,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 0.6784,
+      "step": 350
+    },
+    {
+      "epoch": 3.3333333333333335,
+      "eval_loss": 0.6773594617843628,
+      "eval_runtime": 31.8931,
+      "eval_samples_per_second": 3.48,
+      "eval_steps_per_second": 0.439,
+      "step": 350
+    },
+    {
+      "epoch": 3.571428571428571,
+      "grad_norm": 0.1854155957698822,
+      "learning_rate": 7.169418695587791e-05,
+      "loss": 0.6756,
+      "step": 375
+    },
+    {
+      "epoch": 3.571428571428571,
+      "eval_loss": 0.6735982298851013,
+      "eval_runtime": 31.966,
+      "eval_samples_per_second": 3.472,
+      "eval_steps_per_second": 0.438,
+      "step": 375
+    },
+    {
+      "epoch": 3.8095238095238093,
+      "grad_norm": 0.19128429889678955,
+      "learning_rate": 6.826705121831976e-05,
+      "loss": 0.6771,
+      "step": 400
+    },
+    {
+      "epoch": 3.8095238095238093,
+      "eval_loss": 0.66991126537323,
+      "eval_runtime": 31.8972,
+      "eval_samples_per_second": 3.48,
+      "eval_steps_per_second": 0.439,
+      "step": 400
+    },
+    {
+      "epoch": 4.0476190476190474,
+      "grad_norm": 0.2203032523393631,
+      "learning_rate": 6.473775872054521e-05,
+      "loss": 0.6761,
+      "step": 425
+    },
+    {
+      "epoch": 4.0476190476190474,
+      "eval_loss": 0.6663544774055481,
+      "eval_runtime": 31.9622,
+      "eval_samples_per_second": 3.473,
+      "eval_steps_per_second": 0.438,
+      "step": 425
+    },
+    {
+      "epoch": 4.285714285714286,
+      "grad_norm": 0.2110411375761032,
+      "learning_rate": 6.112604669781572e-05,
+      "loss": 0.664,
+      "step": 450
+    },
+    {
+      "epoch": 4.285714285714286,
+      "eval_loss": 0.6635292768478394,
+      "eval_runtime": 31.9093,
+      "eval_samples_per_second": 3.479,
+      "eval_steps_per_second": 0.439,
+      "step": 450
+    },
+    {
+      "epoch": 4.523809523809524,
+      "grad_norm": 0.21833977103233337,
+      "learning_rate": 5.745211330880872e-05,
+      "loss": 0.6618,
+      "step": 475
+    },
+    {
+      "epoch": 4.523809523809524,
+      "eval_loss": 0.6595950722694397,
+      "eval_runtime": 31.9849,
+      "eval_samples_per_second": 3.47,
+      "eval_steps_per_second": 0.438,
+      "step": 475
+    },
+    {
+      "epoch": 4.761904761904762,
+      "grad_norm": 0.21036215126514435,
+      "learning_rate": 5.373650467932122e-05,
+      "loss": 0.6614,
+      "step": 500
+    },
+    {
+      "epoch": 4.761904761904762,
+      "eval_loss": 0.6555557250976562,
+      "eval_runtime": 31.9033,
+      "eval_samples_per_second": 3.479,
+      "eval_steps_per_second": 0.439,
+      "step": 500
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 1050,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 10,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.255887790814003e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:074758dd0f1f20124c1ac3ee7a6936af1872f0891321dbe41b10b4f0d3aed993
+size 5432