Training in progress, step 130, checkpoint

checkpoint-130/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen2-7B-Instruct
+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 0.14.0

checkpoint-130/adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2-7B-Instruct",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "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_bias": false,
+  "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": [
+    "k_proj",
+    "q_proj",
+    "gate_proj",
+    "v_proj",
+    "o_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-130/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d663e676844737c051cb7f77776f2f5e839e1770977aaf029457e2b2f0de96d9
+size 161533192

checkpoint-130/added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

checkpoint-130/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd59ecbc8c6a8470189fdb2ec90bc3e20b5267c7c7508879552645fc31d38da3
+size 323290986

checkpoint-130/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f462bafe7e780a006f907ffe892f61d8daa3cf7cbf9cfcba9292cae51409f7a9
+size 14244

checkpoint-130/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6aeb6de4c9537e056a10a3f1512df7873a9caeeb1d8d3bd32f08ed42bb3fe35e
+size 1064

checkpoint-130/special_tokens_map.json

@@ -0,0 +1,14 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|im_end|>"
+}

checkpoint-130/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79faeb53ce66e372f424aa1072c822bd68c71927fb82a2c639b8120026616df5
+size 11418364

checkpoint-130/tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|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": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

checkpoint-130/trainer_state.json

@@ -0,0 +1,228 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.1378579003181336,
+  "eval_steps": 10,
+  "global_step": 130,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.010604453870625663,
+      "grad_norm": 2.423347234725952,
+      "learning_rate": 4.982325910215624e-05,
+      "loss": 1.699,
+      "step": 10
+    },
+    {
+      "epoch": 0.010604453870625663,
+      "eval_loss": 1.0601601600646973,
+      "eval_runtime": 11.7552,
+      "eval_samples_per_second": 40.833,
+      "eval_steps_per_second": 2.552,
+      "step": 10
+    },
+    {
+      "epoch": 0.021208907741251327,
+      "grad_norm": 0.707025408744812,
+      "learning_rate": 4.964651820431248e-05,
+      "loss": 0.8572,
+      "step": 20
+    },
+    {
+      "epoch": 0.021208907741251327,
+      "eval_loss": 0.8629258275032043,
+      "eval_runtime": 11.8364,
+      "eval_samples_per_second": 40.553,
+      "eval_steps_per_second": 2.535,
+      "step": 20
+    },
+    {
+      "epoch": 0.031813361611876985,
+      "grad_norm": 0.7233765125274658,
+      "learning_rate": 4.946977730646872e-05,
+      "loss": 0.7187,
+      "step": 30
+    },
+    {
+      "epoch": 0.031813361611876985,
+      "eval_loss": 0.8168506622314453,
+      "eval_runtime": 11.9031,
+      "eval_samples_per_second": 40.326,
+      "eval_steps_per_second": 2.52,
+      "step": 30
+    },
+    {
+      "epoch": 0.042417815482502653,
+      "grad_norm": 0.6566457748413086,
+      "learning_rate": 4.929303640862496e-05,
+      "loss": 0.6442,
+      "step": 40
+    },
+    {
+      "epoch": 0.042417815482502653,
+      "eval_loss": 0.7701226472854614,
+      "eval_runtime": 11.9415,
+      "eval_samples_per_second": 40.196,
+      "eval_steps_per_second": 2.512,
+      "step": 40
+    },
+    {
+      "epoch": 0.053022269353128315,
+      "grad_norm": 0.6793617606163025,
+      "learning_rate": 4.91162955107812e-05,
+      "loss": 0.6736,
+      "step": 50
+    },
+    {
+      "epoch": 0.053022269353128315,
+      "eval_loss": 0.7462028861045837,
+      "eval_runtime": 11.9825,
+      "eval_samples_per_second": 40.059,
+      "eval_steps_per_second": 2.504,
+      "step": 50
+    },
+    {
+      "epoch": 0.06362672322375397,
+      "grad_norm": 0.6813817024230957,
+      "learning_rate": 4.893955461293744e-05,
+      "loss": 0.6056,
+      "step": 60
+    },
+    {
+      "epoch": 0.06362672322375397,
+      "eval_loss": 0.7320327162742615,
+      "eval_runtime": 11.9898,
+      "eval_samples_per_second": 40.034,
+      "eval_steps_per_second": 2.502,
+      "step": 60
+    },
+    {
+      "epoch": 0.07423117709437964,
+      "grad_norm": 0.666418731212616,
+      "learning_rate": 4.876281371509368e-05,
+      "loss": 0.5822,
+      "step": 70
+    },
+    {
+      "epoch": 0.07423117709437964,
+      "eval_loss": 0.7147635817527771,
+      "eval_runtime": 12.0091,
+      "eval_samples_per_second": 39.97,
+      "eval_steps_per_second": 2.498,
+      "step": 70
+    },
+    {
+      "epoch": 0.08483563096500531,
+      "grad_norm": 0.5959348678588867,
+      "learning_rate": 4.858607281724991e-05,
+      "loss": 0.5647,
+      "step": 80
+    },
+    {
+      "epoch": 0.08483563096500531,
+      "eval_loss": 0.6980472803115845,
+      "eval_runtime": 12.0191,
+      "eval_samples_per_second": 39.936,
+      "eval_steps_per_second": 2.496,
+      "step": 80
+    },
+    {
+      "epoch": 0.09544008483563096,
+      "grad_norm": 0.7531402707099915,
+      "learning_rate": 4.8409331919406155e-05,
+      "loss": 0.5738,
+      "step": 90
+    },
+    {
+      "epoch": 0.09544008483563096,
+      "eval_loss": 0.6838169693946838,
+      "eval_runtime": 12.0197,
+      "eval_samples_per_second": 39.934,
+      "eval_steps_per_second": 2.496,
+      "step": 90
+    },
+    {
+      "epoch": 0.10604453870625663,
+      "grad_norm": 0.7243250608444214,
+      "learning_rate": 4.823259102156239e-05,
+      "loss": 0.5892,
+      "step": 100
+    },
+    {
+      "epoch": 0.10604453870625663,
+      "eval_loss": 0.6715003848075867,
+      "eval_runtime": 12.0427,
+      "eval_samples_per_second": 39.858,
+      "eval_steps_per_second": 2.491,
+      "step": 100
+    },
+    {
+      "epoch": 0.11664899257688228,
+      "grad_norm": 0.704513430595398,
+      "learning_rate": 4.8055850123718633e-05,
+      "loss": 0.5758,
+      "step": 110
+    },
+    {
+      "epoch": 0.11664899257688228,
+      "eval_loss": 0.669924795627594,
+      "eval_runtime": 12.0634,
+      "eval_samples_per_second": 39.79,
+      "eval_steps_per_second": 2.487,
+      "step": 110
+    },
+    {
+      "epoch": 0.12725344644750794,
+      "grad_norm": 0.7061131000518799,
+      "learning_rate": 4.7879109225874866e-05,
+      "loss": 0.539,
+      "step": 120
+    },
+    {
+      "epoch": 0.12725344644750794,
+      "eval_loss": 0.6550979614257812,
+      "eval_runtime": 12.0374,
+      "eval_samples_per_second": 39.876,
+      "eval_steps_per_second": 2.492,
+      "step": 120
+    },
+    {
+      "epoch": 0.1378579003181336,
+      "grad_norm": 0.851974606513977,
+      "learning_rate": 4.770236832803111e-05,
+      "loss": 0.5297,
+      "step": 130
+    },
+    {
+      "epoch": 0.1378579003181336,
+      "eval_loss": 0.6511003971099854,
+      "eval_runtime": 12.0653,
+      "eval_samples_per_second": 39.784,
+      "eval_steps_per_second": 2.486,
+      "step": 130
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 2829,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.33629711151104e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-130/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:faea3967f69a90637927708e340ebfb2d331bed5de86d878fcddb572ecb69193
+size 5880