Upload folder using huggingface_hub

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: athirdpath/BigMistral-11b
+tags:
+- generated_from_trainer
+model-index:
+- name: qlora
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# qlora
+
+This model is a fine-tuned version of [athirdpath/BigMistral-11b](https://huggingface.co/athirdpath/BigMistral-11b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9174
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 10
+- eval_batch_size: 10
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 40
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2198        | 0.63  | 30   | 0.9055          |
+| 1.1206        | 1.26  | 60   | 0.8951          |
+| 1.1319        | 1.89  | 90   | 0.8904          |
+| 1.0031        | 2.51  | 120  | 0.9174          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "athirdpath/BigMistral-11b",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.08,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "o_proj",
+    "k_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:faac32173d7ff79402f8cb81c278428bfde4c289fd64cb65093b77cdfebf516c
+size 2013508557

checkpoint-90/README.md

@@ -0,0 +1,220 @@
+---
+library_name: peft
+base_model: athirdpath/BigMistral-11b
+---
+
+# 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: bfloat16
+
+### Framework versions
+
+
+- PEFT 0.6.0

checkpoint-90/adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "athirdpath/BigMistral-11b",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.08,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "o_proj",
+    "k_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

checkpoint-90/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ef694a26ae83071c8bd7b685675dde7aa5bc7bedb6c5981459b88c69bb12bf5
+size 2013358256

checkpoint-90/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd5135f2c059c6a84bd22bcbf80351cab53e7d40bbb70a4f1f98810fabb99390
+size 1009388319

checkpoint-90/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b78378228d3bc52489494bb304c6e257ed98dd30b693be96e37fa94cf7ebfd09
+size 14575

checkpoint-90/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57ca401d742b6359caca6b42f72565aa22000f42559bea84ee4a59bb9cbba41e
+size 627

checkpoint-90/trainer_state.json

@@ -0,0 +1,583 @@
+{
+  "best_metric": 0.8903650641441345,
+  "best_model_checkpoint": "./qlora/checkpoint-90",
+  "epoch": 1.8941798941798942,
+  "eval_steps": 30,
+  "global_step": 90,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.02,
+      "learning_rate": 5e-05,
+      "loss": 1.5699,
+      "step": 1
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0001,
+      "loss": 1.5336,
+      "step": 2
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.00015,
+      "loss": 1.4836,
+      "step": 3
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0002,
+      "loss": 1.4998,
+      "step": 4
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.00025,
+      "loss": 1.3778,
+      "step": 5
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0003,
+      "loss": 1.4062,
+      "step": 6
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.00035,
+      "loss": 1.3872,
+      "step": 7
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 1.2851,
+      "step": 8
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.00045000000000000004,
+      "loss": 1.2633,
+      "step": 9
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0005,
+      "loss": 1.3413,
+      "step": 10
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004999281136632892,
+      "loss": 1.295,
+      "step": 11
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004997124959943201,
+      "loss": 1.3508,
+      "step": 12
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004993532709928075,
+      "loss": 1.2912,
+      "step": 13
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004988506452457066,
+      "loss": 1.3399,
+      "step": 14
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004982049078084071,
+      "loss": 1.2839,
+      "step": 15
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004974164300384998,
+      "loss": 1.2581,
+      "step": 16
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004964856653822122,
+      "loss": 1.2758,
+      "step": 17
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004954131491136361,
+      "loss": 1.257,
+      "step": 18
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004941994980268967,
+      "loss": 1.2517,
+      "step": 19
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.000492845410081439,
+      "loss": 1.2877,
+      "step": 20
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004913516640006391,
+      "loss": 1.2128,
+      "step": 21
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004897191188239667,
+      "loss": 1.2197,
+      "step": 22
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.00048794871341296,
+      "loss": 1.2126,
+      "step": 23
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.00048604146591129483,
+      "loss": 1.182,
+      "step": 24
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.00048399847315926,
+      "loss": 1.2644,
+      "step": 25
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.00048182091006297446,
+      "loss": 1.2948,
+      "step": 26
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.00047951002891870987,
+      "loss": 1.2336,
+      "step": 27
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.00047706715869270635,
+      "loss": 1.2592,
+      "step": 28
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.000474493704256897,
+      "loss": 1.2353,
+      "step": 29
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004717911455809782,
+      "loss": 1.2198,
+      "step": 30
+    },
+    {
+      "epoch": 0.63,
+      "eval_loss": 0.9055019021034241,
+      "eval_runtime": 78.8597,
+      "eval_samples_per_second": 27.974,
+      "eval_steps_per_second": 2.802,
+      "step": 30
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004689610368812938,
+      "loss": 1.2092,
+      "step": 31
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004660050057270191,
+      "loss": 1.2702,
+      "step": 32
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004629247521041611,
+      "loss": 1.2143,
+      "step": 33
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004597220474379125,
+      "loss": 1.2066,
+      "step": 34
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004563987335739216,
+      "loss": 1.1781,
+      "step": 35
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.00045295672171906365,
+      "loss": 1.1901,
+      "step": 36
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.00044939799134232397,
+      "loss": 1.194,
+      "step": 37
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004457245890364235,
+      "loss": 1.2206,
+      "step": 38
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004419386273408428,
+      "loss": 1.2398,
+      "step": 39
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004380422835269193,
+      "loss": 1.1949,
+      "step": 40
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.00043403779834572,
+      "loss": 1.1929,
+      "step": 41
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.00042992747473940553,
+      "loss": 1.1823,
+      "step": 42
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.00042571367651682995,
+      "loss": 1.2005,
+      "step": 43
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.00042139882699413617,
+      "loss": 1.1782,
+      "step": 44
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.00041698540760112926,
+      "loss": 1.2222,
+      "step": 45
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.00041247595645422955,
+      "loss": 1.2339,
+      "step": 46
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004078730668968252,
+      "loss": 1.1552,
+      "step": 47
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.00040317938600786487,
+      "loss": 1.2564,
+      "step": 48
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.00039839761307954675,
+      "loss": 1.1184,
+      "step": 49
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0003935304980649813,
+      "loss": 1.0166,
+      "step": 50
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0003885808399967186,
+      "loss": 1.097,
+      "step": 51
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0003835514853770505,
+      "loss": 1.1164,
+      "step": 52
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.00037844532654101405,
+      "loss": 1.1085,
+      "step": 53
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0003732652999930364,
+      "loss": 1.149,
+      "step": 54
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.00036801438471817827,
+      "loss": 1.1033,
+      "step": 55
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.00036269560046894763,
+      "loss": 1.1575,
+      "step": 56
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0003573120060286679,
+      "loss": 1.0901,
+      "step": 57
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.00035186669745240024,
+      "loss": 1.1321,
+      "step": 58
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0003463628062864312,
+      "loss": 1.061,
+      "step": 59
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.00034080349776734924,
+      "loss": 1.1206,
+      "step": 60
+    },
+    {
+      "epoch": 1.26,
+      "eval_loss": 0.8950722217559814,
+      "eval_runtime": 78.8097,
+      "eval_samples_per_second": 27.991,
+      "eval_steps_per_second": 2.804,
+      "step": 60
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 0.00033519196900174726,
+      "loss": 1.0955,
+      "step": 61
+    },
+    {
+      "epoch": 1.3,
+      "learning_rate": 0.0003295314471275954,
+      "loss": 1.0754,
+      "step": 62
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 0.00032382518745834515,
+      "loss": 1.1503,
+      "step": 63
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 0.00031807647161082795,
+      "loss": 1.1396,
+      "step": 64
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 0.0003122886056180284,
+      "loss": 1.1725,
+      "step": 65
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 0.00030646491802781517,
+      "loss": 1.0785,
+      "step": 66
+    },
+    {
+      "epoch": 1.41,
+      "learning_rate": 0.00030060875798872436,
+      "loss": 1.1007,
+      "step": 67
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 0.00029472349332389523,
+      "loss": 1.0888,
+      "step": 68
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 0.0002888125085942664,
+      "loss": 1.1254,
+      "step": 69
+    },
+    {
+      "epoch": 1.47,
+      "learning_rate": 0.00028287920315214646,
+      "loss": 1.1497,
+      "step": 70
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 0.0002769269891862778,
+      "loss": 1.1557,
+      "step": 71
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 0.0002709592897595191,
+      "loss": 1.0843,
+      "step": 72
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 0.0002649795368402735,
+      "loss": 1.0626,
+      "step": 73
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 0.00025899116932879537,
+      "loss": 1.0813,
+      "step": 74
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 0.0002529976310795108,
+      "loss": 1.1033,
+      "step": 75
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 0.0002470023689204893,
+      "loss": 1.0719,
+      "step": 76
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 0.00024100883067120475,
+      "loss": 1.1511,
+      "step": 77
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 0.00023502046315972656,
+      "loss": 1.1419,
+      "step": 78
+    },
+    {
+      "epoch": 1.66,
+      "learning_rate": 0.0002290407102404809,
+      "loss": 1.1272,
+      "step": 79
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 0.00022307301081372224,
+      "loss": 1.1337,
+      "step": 80
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 0.00021712079684785363,
+      "loss": 1.1324,
+      "step": 81
+    },
+    {
+      "epoch": 1.72,
+      "learning_rate": 0.0002111874914057336,
+      "loss": 1.0984,
+      "step": 82
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 0.00020527650667610475,
+      "loss": 1.124,
+      "step": 83
+    },
+    {
+      "epoch": 1.77,
+      "learning_rate": 0.0001993912420112756,
+      "loss": 1.1362,
+      "step": 84
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 0.00019353508197218492,
+      "loss": 1.1449,
+      "step": 85
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 0.00018771139438197168,
+      "loss": 1.078,
+      "step": 86
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 0.00018192352838917208,
+      "loss": 1.0174,
+      "step": 87
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 0.0001761748125416549,
+      "loss": 1.1056,
+      "step": 88
+    },
+    {
+      "epoch": 1.87,
+      "learning_rate": 0.00017046855287240463,
+      "loss": 1.0898,
+      "step": 89
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 0.00016480803099825278,
+      "loss": 1.1319,
+      "step": 90
+    },
+    {
+      "epoch": 1.89,
+      "eval_loss": 0.8903650641441345,
+      "eval_runtime": 78.9054,
+      "eval_samples_per_second": 27.958,
+      "eval_steps_per_second": 2.801,
+      "step": 90
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 141,
+  "num_train_epochs": 3,
+  "save_steps": 90,
+  "total_flos": 9.823903794855936e+17,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-90/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:001bcce44abfd485df0a59bd5b5f2cec68439389dc7e1663c9e7e102d3f1f38d
+size 4539

config.json

@@ -0,0 +1,37 @@
+{
+  "_name_or_path": "athirdpath/BigMistral-11b",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "quantization_config": {
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

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 +1,44 @@
+{
+  "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>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "use_fast": true
+}