Upload folder using huggingface_hub

README.md

@@ -0,0 +1,45 @@
+---
+tags:
+- autotrain
+- text-generation-inference
+- text-generation
+- peft
+library_name: transformers
+widget:
+  - messages:
+      - role: user
+        content: What is your favorite condiment?
+license: other
+---
+
+# Model Trained Using AutoTrain
+
+This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
+
+# Usage
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = "PATH_TO_THIS_REPO"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
+
+# Prompt content: "hi"
+messages = [
+    {"role": "user", "content": "hi"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+output_ids = model.generate(input_ids.to('cuda'))
+response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+# Model response: "Hello! How can I assist you today?"
+print(response)
+```

adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "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,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_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:e827e9f44d48dc607ad24db60f71c319f4e1ad200950ad61c7ca83fc60d5369e
+size 27280152

checkpoint-2028/README.md

@@ -0,0 +1,204 @@
+---
+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]
+
+
+### Framework versions
+
+- PEFT 0.10.0

checkpoint-2028/adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "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,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-2028/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e827e9f44d48dc607ad24db60f71c319f4e1ad200950ad61c7ca83fc60d5369e
+size 27280152

checkpoint-2028/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68af5f408fc3fda0d72a5b5f89ee30f115875ad1e7c506faa87d430288c5c420
+size 54633978

checkpoint-2028/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:049c26b844b79121ddd8379f7f69194e63f6fbf6aa007eeac0c66f17eebb8893
+size 888

checkpoint-2028/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:613611840b6fdb474430bcd9f9eed5c24a27d8a9d52fe7406c5b135f947d7dc7
+size 14244

checkpoint-2028/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7da6bddee70b0d47372d821660d86c3c3e068bf627293a4c8bea4c9a24a320c
+size 1064

checkpoint-2028/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
+  }
+}

checkpoint-2028/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-2028/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1024,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-2028/trainer_state.json

@@ -0,0 +1,588 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 6.0,
+  "eval_steps": 500,
+  "global_step": 2028,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.07,
+      "grad_norm": 1.6387559175491333,
+      "learning_rate": 2.4630541871921184e-05,
+      "loss": 1.3637,
+      "step": 25
+    },
+    {
+      "epoch": 0.15,
+      "grad_norm": 1.9441598653793335,
+      "learning_rate": 4.926108374384237e-05,
+      "loss": 1.2291,
+      "step": 50
+    },
+    {
+      "epoch": 0.22,
+      "grad_norm": 2.4013047218322754,
+      "learning_rate": 7.389162561576355e-05,
+      "loss": 1.1296,
+      "step": 75
+    },
+    {
+      "epoch": 0.3,
+      "grad_norm": 2.915468215942383,
+      "learning_rate": 9.852216748768474e-05,
+      "loss": 1.0603,
+      "step": 100
+    },
+    {
+      "epoch": 0.37,
+      "grad_norm": 2.2165613174438477,
+      "learning_rate": 0.00012315270935960593,
+      "loss": 0.9742,
+      "step": 125
+    },
+    {
+      "epoch": 0.44,
+      "grad_norm": 2.0160369873046875,
+      "learning_rate": 0.0001477832512315271,
+      "loss": 1.0095,
+      "step": 150
+    },
+    {
+      "epoch": 0.52,
+      "grad_norm": 1.840472936630249,
+      "learning_rate": 0.00017241379310344826,
+      "loss": 0.9758,
+      "step": 175
+    },
+    {
+      "epoch": 0.59,
+      "grad_norm": 1.7259827852249146,
+      "learning_rate": 0.00019704433497536947,
+      "loss": 0.9755,
+      "step": 200
+    },
+    {
+      "epoch": 0.67,
+      "grad_norm": 1.8914766311645508,
+      "learning_rate": 0.00019758904109589044,
+      "loss": 1.0167,
+      "step": 225
+    },
+    {
+      "epoch": 0.74,
+      "grad_norm": 1.5285598039627075,
+      "learning_rate": 0.00019484931506849316,
+      "loss": 0.9205,
+      "step": 250
+    },
+    {
+      "epoch": 0.81,
+      "grad_norm": 1.6174041032791138,
+      "learning_rate": 0.00019210958904109592,
+      "loss": 0.9171,
+      "step": 275
+    },
+    {
+      "epoch": 0.89,
+      "grad_norm": 1.6485415697097778,
+      "learning_rate": 0.00018936986301369864,
+      "loss": 0.9214,
+      "step": 300
+    },
+    {
+      "epoch": 0.96,
+      "grad_norm": 1.6646627187728882,
+      "learning_rate": 0.0001866301369863014,
+      "loss": 0.9161,
+      "step": 325
+    },
+    {
+      "epoch": 1.04,
+      "grad_norm": 1.58356511592865,
+      "learning_rate": 0.00018400000000000003,
+      "loss": 0.8968,
+      "step": 350
+    },
+    {
+      "epoch": 1.11,
+      "grad_norm": 1.722945213317871,
+      "learning_rate": 0.00018126027397260275,
+      "loss": 0.8365,
+      "step": 375
+    },
+    {
+      "epoch": 1.18,
+      "grad_norm": 1.9991916418075562,
+      "learning_rate": 0.0001785205479452055,
+      "loss": 0.8648,
+      "step": 400
+    },
+    {
+      "epoch": 1.26,
+      "grad_norm": 3.0022475719451904,
+      "learning_rate": 0.00017578082191780823,
+      "loss": 0.8409,
+      "step": 425
+    },
+    {
+      "epoch": 1.33,
+      "grad_norm": 1.5056065320968628,
+      "learning_rate": 0.00017304109589041098,
+      "loss": 0.7653,
+      "step": 450
+    },
+    {
+      "epoch": 1.41,
+      "grad_norm": 1.5764682292938232,
+      "learning_rate": 0.0001703013698630137,
+      "loss": 0.8132,
+      "step": 475
+    },
+    {
+      "epoch": 1.48,
+      "grad_norm": 1.6800600290298462,
+      "learning_rate": 0.00016756164383561646,
+      "loss": 0.8424,
+      "step": 500
+    },
+    {
+      "epoch": 1.55,
+      "grad_norm": 1.5748885869979858,
+      "learning_rate": 0.00016482191780821918,
+      "loss": 0.8225,
+      "step": 525
+    },
+    {
+      "epoch": 1.63,
+      "grad_norm": 1.8514370918273926,
+      "learning_rate": 0.00016208219178082193,
+      "loss": 0.782,
+      "step": 550
+    },
+    {
+      "epoch": 1.7,
+      "grad_norm": 1.6620662212371826,
+      "learning_rate": 0.00015934246575342466,
+      "loss": 0.8057,
+      "step": 575
+    },
+    {
+      "epoch": 1.78,
+      "grad_norm": 1.5210013389587402,
+      "learning_rate": 0.0001566027397260274,
+      "loss": 0.8187,
+      "step": 600
+    },
+    {
+      "epoch": 1.85,
+      "grad_norm": 1.831774353981018,
+      "learning_rate": 0.00015386301369863013,
+      "loss": 0.8243,
+      "step": 625
+    },
+    {
+      "epoch": 1.92,
+      "grad_norm": 1.578306794166565,
+      "learning_rate": 0.0001511232876712329,
+      "loss": 0.8339,
+      "step": 650
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 1.6106500625610352,
+      "learning_rate": 0.0001483835616438356,
+      "loss": 0.8359,
+      "step": 675
+    },
+    {
+      "epoch": 2.07,
+      "grad_norm": 2.1241354942321777,
+      "learning_rate": 0.00014564383561643836,
+      "loss": 0.711,
+      "step": 700
+    },
+    {
+      "epoch": 2.14,
+      "grad_norm": 2.0171968936920166,
+      "learning_rate": 0.00014290410958904112,
+      "loss": 0.6632,
+      "step": 725
+    },
+    {
+      "epoch": 2.22,
+      "grad_norm": 1.9910348653793335,
+      "learning_rate": 0.00014016438356164384,
+      "loss": 0.6418,
+      "step": 750
+    },
+    {
+      "epoch": 2.29,
+      "grad_norm": 2.025341749191284,
+      "learning_rate": 0.0001374246575342466,
+      "loss": 0.673,
+      "step": 775
+    },
+    {
+      "epoch": 2.37,
+      "grad_norm": 1.8271619081497192,
+      "learning_rate": 0.00013468493150684934,
+      "loss": 0.6392,
+      "step": 800
+    },
+    {
+      "epoch": 2.44,
+      "grad_norm": 2.3863108158111572,
+      "learning_rate": 0.00013194520547945207,
+      "loss": 0.6239,
+      "step": 825
+    },
+    {
+      "epoch": 2.51,
+      "grad_norm": 2.1700851917266846,
+      "learning_rate": 0.00012920547945205482,
+      "loss": 0.6683,
+      "step": 850
+    },
+    {
+      "epoch": 2.59,
+      "grad_norm": 1.662989616394043,
+      "learning_rate": 0.00012646575342465755,
+      "loss": 0.6566,
+      "step": 875
+    },
+    {
+      "epoch": 2.66,
+      "grad_norm": 2.041293144226074,
+      "learning_rate": 0.00012372602739726027,
+      "loss": 0.6954,
+      "step": 900
+    },
+    {
+      "epoch": 2.74,
+      "grad_norm": 1.8853856325149536,
+      "learning_rate": 0.00012098630136986302,
+      "loss": 0.6824,
+      "step": 925
+    },
+    {
+      "epoch": 2.81,
+      "grad_norm": 2.2064335346221924,
+      "learning_rate": 0.00011824657534246575,
+      "loss": 0.638,
+      "step": 950
+    },
+    {
+      "epoch": 2.88,
+      "grad_norm": 2.4988508224487305,
+      "learning_rate": 0.0001155068493150685,
+      "loss": 0.6586,
+      "step": 975
+    },
+    {
+      "epoch": 2.96,
+      "grad_norm": 1.8918757438659668,
+      "learning_rate": 0.00011276712328767122,
+      "loss": 0.6704,
+      "step": 1000
+    },
+    {
+      "epoch": 3.03,
+      "grad_norm": 2.117297410964966,
+      "learning_rate": 0.00011002739726027397,
+      "loss": 0.5681,
+      "step": 1025
+    },
+    {
+      "epoch": 3.11,
+      "grad_norm": 1.9822639226913452,
+      "learning_rate": 0.00010728767123287671,
+      "loss": 0.507,
+      "step": 1050
+    },
+    {
+      "epoch": 3.18,
+      "grad_norm": 2.404207706451416,
+      "learning_rate": 0.00010454794520547946,
+      "loss": 0.5017,
+      "step": 1075
+    },
+    {
+      "epoch": 3.25,
+      "grad_norm": 2.122673273086548,
+      "learning_rate": 0.00010180821917808219,
+      "loss": 0.4803,
+      "step": 1100
+    },
+    {
+      "epoch": 3.33,
+      "grad_norm": 2.590771436691284,
+      "learning_rate": 9.906849315068494e-05,
+      "loss": 0.5102,
+      "step": 1125
+    },
+    {
+      "epoch": 3.4,
+      "grad_norm": 2.141523838043213,
+      "learning_rate": 9.632876712328768e-05,
+      "loss": 0.5011,
+      "step": 1150
+    },
+    {
+      "epoch": 3.48,
+      "grad_norm": 2.4209084510803223,
+      "learning_rate": 9.358904109589042e-05,
+      "loss": 0.5235,
+      "step": 1175
+    },
+    {
+      "epoch": 3.55,
+      "grad_norm": 2.436467170715332,
+      "learning_rate": 9.084931506849316e-05,
+      "loss": 0.5421,
+      "step": 1200
+    },
+    {
+      "epoch": 3.62,
+      "grad_norm": 2.52020001411438,
+      "learning_rate": 8.81095890410959e-05,
+      "loss": 0.5186,
+      "step": 1225
+    },
+    {
+      "epoch": 3.7,
+      "grad_norm": 2.1507699489593506,
+      "learning_rate": 8.536986301369863e-05,
+      "loss": 0.5135,
+      "step": 1250
+    },
+    {
+      "epoch": 3.77,
+      "grad_norm": 2.4909422397613525,
+      "learning_rate": 8.263013698630137e-05,
+      "loss": 0.5494,
+      "step": 1275
+    },
+    {
+      "epoch": 3.85,
+      "grad_norm": 2.0679502487182617,
+      "learning_rate": 7.989041095890411e-05,
+      "loss": 0.4808,
+      "step": 1300
+    },
+    {
+      "epoch": 3.92,
+      "grad_norm": 2.8978271484375,
+      "learning_rate": 7.715068493150686e-05,
+      "loss": 0.5453,
+      "step": 1325
+    },
+    {
+      "epoch": 3.99,
+      "grad_norm": 2.301755428314209,
+      "learning_rate": 7.44109589041096e-05,
+      "loss": 0.4995,
+      "step": 1350
+    },
+    {
+      "epoch": 4.07,
+      "grad_norm": 2.578835964202881,
+      "learning_rate": 7.167123287671234e-05,
+      "loss": 0.3984,
+      "step": 1375
+    },
+    {
+      "epoch": 4.14,
+      "grad_norm": 2.900747299194336,
+      "learning_rate": 6.893150684931508e-05,
+      "loss": 0.3675,
+      "step": 1400
+    },
+    {
+      "epoch": 4.22,
+      "grad_norm": 3.3370769023895264,
+      "learning_rate": 6.619178082191781e-05,
+      "loss": 0.3662,
+      "step": 1425
+    },
+    {
+      "epoch": 4.29,
+      "grad_norm": 2.989133834838867,
+      "learning_rate": 6.345205479452055e-05,
+      "loss": 0.3756,
+      "step": 1450
+    },
+    {
+      "epoch": 4.36,
+      "grad_norm": 2.7858242988586426,
+      "learning_rate": 6.071232876712329e-05,
+      "loss": 0.3816,
+      "step": 1475
+    },
+    {
+      "epoch": 4.44,
+      "grad_norm": 2.5152714252471924,
+      "learning_rate": 5.7972602739726036e-05,
+      "loss": 0.3561,
+      "step": 1500
+    },
+    {
+      "epoch": 4.51,
+      "grad_norm": 2.771308660507202,
+      "learning_rate": 5.5232876712328775e-05,
+      "loss": 0.3699,
+      "step": 1525
+    },
+    {
+      "epoch": 4.59,
+      "grad_norm": 3.1365509033203125,
+      "learning_rate": 5.249315068493151e-05,
+      "loss": 0.3843,
+      "step": 1550
+    },
+    {
+      "epoch": 4.66,
+      "grad_norm": 3.3356099128723145,
+      "learning_rate": 4.9753424657534244e-05,
+      "loss": 0.419,
+      "step": 1575
+    },
+    {
+      "epoch": 4.73,
+      "grad_norm": 3.6290457248687744,
+      "learning_rate": 4.701369863013699e-05,
+      "loss": 0.3759,
+      "step": 1600
+    },
+    {
+      "epoch": 4.81,
+      "grad_norm": 2.340773344039917,
+      "learning_rate": 4.427397260273973e-05,
+      "loss": 0.3608,
+      "step": 1625
+    },
+    {
+      "epoch": 4.88,
+      "grad_norm": 2.5572738647460938,
+      "learning_rate": 4.1534246575342466e-05,
+      "loss": 0.3827,
+      "step": 1650
+    },
+    {
+      "epoch": 4.96,
+      "grad_norm": 2.8399617671966553,
+      "learning_rate": 3.8794520547945204e-05,
+      "loss": 0.3946,
+      "step": 1675
+    },
+    {
+      "epoch": 5.03,
+      "grad_norm": 2.2290821075439453,
+      "learning_rate": 3.605479452054795e-05,
+      "loss": 0.3155,
+      "step": 1700
+    },
+    {
+      "epoch": 5.1,
+      "grad_norm": 2.295093536376953,
+      "learning_rate": 3.331506849315069e-05,
+      "loss": 0.2648,
+      "step": 1725
+    },
+    {
+      "epoch": 5.18,
+      "grad_norm": 2.754384756088257,
+      "learning_rate": 3.0575342465753426e-05,
+      "loss": 0.2921,
+      "step": 1750
+    },
+    {
+      "epoch": 5.25,
+      "grad_norm": 3.0329742431640625,
+      "learning_rate": 2.7835616438356164e-05,
+      "loss": 0.2801,
+      "step": 1775
+    },
+    {
+      "epoch": 5.33,
+      "grad_norm": 2.5985870361328125,
+      "learning_rate": 2.5095890410958906e-05,
+      "loss": 0.262,
+      "step": 1800
+    },
+    {
+      "epoch": 5.4,
+      "grad_norm": 3.2596547603607178,
+      "learning_rate": 2.2356164383561644e-05,
+      "loss": 0.2742,
+      "step": 1825
+    },
+    {
+      "epoch": 5.47,
+      "grad_norm": 2.7161920070648193,
+      "learning_rate": 1.9616438356164386e-05,
+      "loss": 0.2609,
+      "step": 1850
+    },
+    {
+      "epoch": 5.55,
+      "grad_norm": 2.671105146408081,
+      "learning_rate": 1.6876712328767124e-05,
+      "loss": 0.2906,
+      "step": 1875
+    },
+    {
+      "epoch": 5.62,
+      "grad_norm": 2.5027403831481934,
+      "learning_rate": 1.4136986301369864e-05,
+      "loss": 0.2491,
+      "step": 1900
+    },
+    {
+      "epoch": 5.7,
+      "grad_norm": 3.0660693645477295,
+      "learning_rate": 1.1397260273972603e-05,
+      "loss": 0.2869,
+      "step": 1925
+    },
+    {
+      "epoch": 5.77,
+      "grad_norm": 2.5826847553253174,
+      "learning_rate": 8.657534246575343e-06,
+      "loss": 0.2624,
+      "step": 1950
+    },
+    {
+      "epoch": 5.84,
+      "grad_norm": 2.695078134536743,
+      "learning_rate": 5.9178082191780825e-06,
+      "loss": 0.2477,
+      "step": 1975
+    },
+    {
+      "epoch": 5.92,
+      "grad_norm": 2.729051113128662,
+      "learning_rate": 3.178082191780822e-06,
+      "loss": 0.2862,
+      "step": 2000
+    },
+    {
+      "epoch": 5.99,
+      "grad_norm": 3.2778682708740234,
+      "learning_rate": 4.3835616438356164e-07,
+      "loss": 0.2722,
+      "step": 2025
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 2028,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 6,
+  "save_steps": 500,
+  "total_flos": 8.868397672562688e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-2028/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0c0bcbbea33b9f1a3c1ae28f9f507ae53daaa999ed65f2fcb77bb3dbe1104be
+size 4920

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.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1024,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0c0bcbbea33b9f1a3c1ae28f9f507ae53daaa999ed65f2fcb77bb3dbe1104be
+size 4920

training_params.json

@@ -0,0 +1,47 @@
+{
+    "model": "mistralai/Mistral-7B-v0.1",
+    "project_name": "mistral-7b-TCIS-EW5",
+    "data_path": "mistral-7b-TCIS-EW5/autotrain-data",
+    "train_split": "train",
+    "valid_split": null,
+    "add_eos_token": false,
+    "block_size": -1,
+    "model_max_length": 1024,
+    "padding": null,
+    "trainer": "sft",
+    "use_flash_attention_2": false,
+    "log": "none",
+    "disable_gradient_checkpointing": false,
+    "logging_steps": -1,
+    "evaluation_strategy": "epoch",
+    "save_total_limit": 1,
+    "save_strategy": "epoch",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "lr": 0.0002,
+    "epochs": 6,
+    "batch_size": 1,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "chat_template": null,
+    "quantization": "int4",
+    "target_modules": "q_proj,v_proj",
+    "merge_adapter": false,
+    "peft": true,
+    "lora_r": 16,
+    "lora_alpha": 32,
+    "lora_dropout": 0.05,
+    "model_ref": null,
+    "dpo_beta": 0.1,
+    "prompt_text_column": "autotrain_prompt",
+    "text_column": "autotrain_text",
+    "rejected_text_column": "autotrain_rejected_text",
+    "push_to_hub": true,
+    "repo_id": "LAPINILLA/TCISEW",
+    "username": null
+}