Upload folder using huggingface_hub

checkpoint-60/README.md

@@ -0,0 +1,220 @@
+---
+library_name: peft
+base_model: mistralai/Mistral-7B-v0.1
+---
+
+# 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]
+
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: float16
+
+### Framework versions
+
+
+- PEFT 0.6.3.dev0

checkpoint-60/adapter_config.json

@@ -0,0 +1,24 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "gate_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

checkpoint-60/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86fbd09717e851945e56463d43a9a99162f2e6b12083f1fc4c2f8d60c89b80fc
+size 226517904

checkpoint-60/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:061d6b1a18f6bc6f167fe4b35bfa78742a7d83cdf3b9d519a03e37c7f4cfb701
+size 453146810

checkpoint-60/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3849d0aa0012fb8407071036054ac636ad862ca66baf61965557bad86b8f5681
+size 14244

checkpoint-60/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f7710ef05a630463fc65356ea3e886854ff1140f3f98a14ca75c608f14a5ee0
+size 1064

checkpoint-60/trainer_state.json

@@ -0,0 +1,380 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.9927611168562565,
+  "eval_steps": 500,
+  "global_step": 60,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.02,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 0.643,
+      "step": 1
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 8.000000000000001e-06,
+      "loss": 0.6409,
+      "step": 2
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.2e-05,
+      "loss": 0.5779,
+      "step": 3
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.6000000000000003e-05,
+      "loss": 0.6641,
+      "step": 4
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 2e-05,
+      "loss": 0.61,
+      "step": 5
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 2.4e-05,
+      "loss": 0.6653,
+      "step": 6
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 2.8000000000000003e-05,
+      "loss": 0.6101,
+      "step": 7
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 3.2000000000000005e-05,
+      "loss": 0.7479,
+      "step": 8
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 3.6e-05,
+      "loss": 0.6357,
+      "step": 9
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 4e-05,
+      "loss": 0.6214,
+      "step": 10
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.6257,
+      "step": 11
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 4.8e-05,
+      "loss": 0.6228,
+      "step": 12
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 5.2000000000000004e-05,
+      "loss": 0.6295,
+      "step": 13
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 5.6000000000000006e-05,
+      "loss": 0.6345,
+      "step": 14
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 6e-05,
+      "loss": 0.6282,
+      "step": 15
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 6.400000000000001e-05,
+      "loss": 0.6231,
+      "step": 16
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 6.800000000000001e-05,
+      "loss": 0.6282,
+      "step": 17
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 7.2e-05,
+      "loss": 0.6423,
+      "step": 18
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 7.6e-05,
+      "loss": 0.6055,
+      "step": 19
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 8e-05,
+      "loss": 0.6244,
+      "step": 20
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 8.4e-05,
+      "loss": 0.5443,
+      "step": 21
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 8.800000000000001e-05,
+      "loss": 0.6479,
+      "step": 22
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 9.200000000000001e-05,
+      "loss": 0.5565,
+      "step": 23
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 9.6e-05,
+      "loss": 0.6131,
+      "step": 24
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0001,
+      "loss": 0.6696,
+      "step": 25
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.00010400000000000001,
+      "loss": 0.5886,
+      "step": 26
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.00010800000000000001,
+      "loss": 0.5999,
+      "step": 27
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.00011200000000000001,
+      "loss": 0.7083,
+      "step": 28
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.000116,
+      "loss": 0.6178,
+      "step": 29
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.00012,
+      "loss": 0.6466,
+      "step": 30
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.000124,
+      "loss": 0.5462,
+      "step": 31
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.00012800000000000002,
+      "loss": 0.6239,
+      "step": 32
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.000132,
+      "loss": 0.6646,
+      "step": 33
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.00013600000000000003,
+      "loss": 0.6293,
+      "step": 34
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.00014,
+      "loss": 0.5853,
+      "step": 35
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.000144,
+      "loss": 0.6881,
+      "step": 36
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.000148,
+      "loss": 0.6398,
+      "step": 37
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.000152,
+      "loss": 0.6054,
+      "step": 38
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.00015600000000000002,
+      "loss": 0.6332,
+      "step": 39
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.00016,
+      "loss": 0.5941,
+      "step": 40
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.000164,
+      "loss": 0.6127,
+      "step": 41
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.000168,
+      "loss": 0.6475,
+      "step": 42
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.000172,
+      "loss": 0.5668,
+      "step": 43
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.00017600000000000002,
+      "loss": 0.6348,
+      "step": 44
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.00018,
+      "loss": 0.6379,
+      "step": 45
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.00018400000000000003,
+      "loss": 0.5992,
+      "step": 46
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.000188,
+      "loss": 0.6435,
+      "step": 47
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.000192,
+      "loss": 0.5909,
+      "step": 48
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.000196,
+      "loss": 0.6596,
+      "step": 49
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0002,
+      "loss": 0.6426,
+      "step": 50
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.00020400000000000003,
+      "loss": 0.5908,
+      "step": 51
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.00020800000000000001,
+      "loss": 0.5486,
+      "step": 52
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.00021200000000000003,
+      "loss": 0.6184,
+      "step": 53
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.00021600000000000002,
+      "loss": 0.6977,
+      "step": 54
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.00022000000000000003,
+      "loss": 0.6308,
+      "step": 55
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.00022400000000000002,
+      "loss": 0.5394,
+      "step": 56
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.00022799999999999999,
+      "loss": 0.5426,
+      "step": 57
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.000232,
+      "loss": 0.5429,
+      "step": 58
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.000236,
+      "loss": 0.5822,
+      "step": 59
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.00024,
+      "loss": 0.5793,
+      "step": 60
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 180,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 10,
+  "total_flos": 2.07429203165184e+17,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-60/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f924836ef21707286fc6978ae0980c72a4e9c41410a8b98d6d3ba75f7357b705
+size 4664

runs/Nov24_16-17-54_924075f44444/events.out.tfevents.1700842675.924075f44444.7554.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:305f6485b48c61b2cf492a70827d483bf25ea5ff55d1dc7c1fdcd95d4517ecc3
-size 12421
+oid sha256:ef7fe51bcdea702725765a928600b8896281e73262cb798b2842b0b8d4260a50
+size 13961