Training in progress, step 65, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,218 @@
+---
+library_name: peft
+base_model: deepseek-ai/deepseek-llm-7b-chat
+---
+
+# 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: True
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+
+### Framework versions
+
+- PEFT 0.7.0

last-checkpoint/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/deepseek-llm-7b-chat",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "down_proj",
+    "q_proj",
+    "k_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e539c7d29f28e7bf3189f97535848aefceb6fab6557519f106d8367fed09c89d
+size 75012288

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e9be4e2e8066cfdf9173a341feef6dfa163131c2366c0ba34259b7eee259d0d
+size 38034724

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bf616fc8f0f1afbaf078532cbb81e411d5e1a4c86d97ff1aad2f218d94ba7f6
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f42057680a5702f6f5a4011b02db74a01965e38f5a26c223b3885c3184ec6f0
+size 1064

last-checkpoint/trainer_state.json

@@ -0,0 +1,409 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.026,
+  "eval_steps": 1000,
+  "global_step": 65,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 2.4138,
+      "step": 1
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00013333333333333334,
+      "loss": 2.3782,
+      "step": 2
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0002,
+      "loss": 2.1039,
+      "step": 3
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00019863945578231293,
+      "loss": 2.4971,
+      "step": 4
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00019727891156462587,
+      "loss": 2.1249,
+      "step": 5
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0001959183673469388,
+      "loss": 2.649,
+      "step": 6
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0001945578231292517,
+      "loss": 2.9032,
+      "step": 7
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00019319727891156462,
+      "loss": 1.8552,
+      "step": 8
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00019183673469387756,
+      "loss": 2.3256,
+      "step": 9
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00019047619047619048,
+      "loss": 2.4122,
+      "step": 10
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00018911564625850343,
+      "loss": 2.0678,
+      "step": 11
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00018775510204081634,
+      "loss": 2.3379,
+      "step": 12
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00018639455782312926,
+      "loss": 2.1801,
+      "step": 13
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0001850340136054422,
+      "loss": 2.1896,
+      "step": 14
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00018367346938775512,
+      "loss": 2.0319,
+      "step": 15
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00018231292517006804,
+      "loss": 1.9579,
+      "step": 16
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00018095238095238095,
+      "loss": 2.1247,
+      "step": 17
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0001795918367346939,
+      "loss": 2.8723,
+      "step": 18
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00017823129251700681,
+      "loss": 1.8466,
+      "step": 19
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00017687074829931973,
+      "loss": 2.3306,
+      "step": 20
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00017551020408163265,
+      "loss": 2.3662,
+      "step": 21
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0001741496598639456,
+      "loss": 2.1281,
+      "step": 22
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0001727891156462585,
+      "loss": 2.0371,
+      "step": 23
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00017142857142857143,
+      "loss": 2.4064,
+      "step": 24
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00017006802721088434,
+      "loss": 1.8651,
+      "step": 25
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00016870748299319729,
+      "loss": 2.2024,
+      "step": 26
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00016734693877551023,
+      "loss": 1.8373,
+      "step": 27
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00016598639455782315,
+      "loss": 1.8414,
+      "step": 28
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00016462585034013606,
+      "loss": 2.0103,
+      "step": 29
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00016326530612244898,
+      "loss": 1.8933,
+      "step": 30
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00016190476190476192,
+      "loss": 1.9478,
+      "step": 31
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00016054421768707484,
+      "loss": 1.7242,
+      "step": 32
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00015918367346938776,
+      "loss": 2.6501,
+      "step": 33
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00015782312925170067,
+      "loss": 1.9442,
+      "step": 34
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00015646258503401362,
+      "loss": 2.097,
+      "step": 35
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00015510204081632654,
+      "loss": 1.9518,
+      "step": 36
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00015374149659863945,
+      "loss": 2.0381,
+      "step": 37
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00015238095238095237,
+      "loss": 2.1018,
+      "step": 38
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0001510204081632653,
+      "loss": 2.6064,
+      "step": 39
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00014965986394557826,
+      "loss": 1.8832,
+      "step": 40
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00014829931972789117,
+      "loss": 1.7176,
+      "step": 41
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0001469387755102041,
+      "loss": 1.9294,
+      "step": 42
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.000145578231292517,
+      "loss": 2.2566,
+      "step": 43
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00014421768707482995,
+      "loss": 2.0185,
+      "step": 44
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00014285714285714287,
+      "loss": 1.9994,
+      "step": 45
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00014149659863945578,
+      "loss": 1.8176,
+      "step": 46
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0001401360544217687,
+      "loss": 2.2882,
+      "step": 47
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00013877551020408165,
+      "loss": 1.9445,
+      "step": 48
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00013741496598639456,
+      "loss": 2.1634,
+      "step": 49
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00013605442176870748,
+      "loss": 1.7348,
+      "step": 50
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0001346938775510204,
+      "loss": 2.1267,
+      "step": 51
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00013333333333333334,
+      "loss": 2.0458,
+      "step": 52
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00013197278911564626,
+      "loss": 1.8534,
+      "step": 53
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00013061224489795917,
+      "loss": 1.6838,
+      "step": 54
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00012925170068027212,
+      "loss": 1.896,
+      "step": 55
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00012789115646258506,
+      "loss": 2.2231,
+      "step": 56
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00012653061224489798,
+      "loss": 2.0001,
+      "step": 57
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0001251700680272109,
+      "loss": 1.9079,
+      "step": 58
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0001238095238095238,
+      "loss": 2.2205,
+      "step": 59
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00012244897959183676,
+      "loss": 2.1606,
+      "step": 60
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00012108843537414967,
+      "loss": 2.1003,
+      "step": 61
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.00011972789115646259,
+      "loss": 2.0567,
+      "step": 62
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.00011836734693877552,
+      "loss": 1.8886,
+      "step": 63
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.00011700680272108844,
+      "loss": 1.565,
+      "step": 64
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.00011564625850340137,
+      "loss": 1.7418,
+      "step": 65
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 150,
+  "num_train_epochs": 1,
+  "save_steps": 5,
+  "total_flos": 3125581151207424.0,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:005ade789904b4e240609100571fb0216dbaf8df32c43f475da91389ea6bdd72
+size 4600