Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen2-1.5B-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 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2-1.5B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "o_proj",
+    "gate_proj",
+    "up_proj",
+    "q_proj",
+    "down_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c945ba6e8dc9c0bcee24b3e1630b782f922104eab06ed416b94dc231d77380a5
+size 73911112

last-checkpoint/added_tokens.json

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

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbca432765b33fadd3815ba3e12c141a8ed1828710c31c3b2045beb9fde9619d
+size 148047722

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa605e181e526393769fe9e3f661ade97e9e93a9bfe358af28f7b39ffae40e55
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1900bd8021f13c38b942ed30aea6e2cea1b47664e4ce28d0276b142334732307
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
+size 11418266

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "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": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 1.6950736045837402,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.014147773494146358,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00028295546988292715,
+      "grad_norm": 0.24982644617557526,
+      "learning_rate": 5.000000000000001e-07,
+      "loss": 1.7952,
+      "step": 1
+    },
+    {
+      "epoch": 0.00028295546988292715,
+      "eval_loss": 1.7304487228393555,
+      "eval_runtime": 282.0568,
+      "eval_samples_per_second": 21.106,
+      "eval_steps_per_second": 5.279,
+      "step": 1
+    },
+    {
+      "epoch": 0.0005659109397658543,
+      "grad_norm": 0.21370525658130646,
+      "learning_rate": 1.0000000000000002e-06,
+      "loss": 1.7554,
+      "step": 2
+    },
+    {
+      "epoch": 0.0008488664096487816,
+      "grad_norm": 0.22746139764785767,
+      "learning_rate": 1.5e-06,
+      "loss": 1.775,
+      "step": 3
+    },
+    {
+      "epoch": 0.0011318218795317086,
+      "grad_norm": 0.23206515610218048,
+      "learning_rate": 2.0000000000000003e-06,
+      "loss": 1.775,
+      "step": 4
+    },
+    {
+      "epoch": 0.0014147773494146358,
+      "grad_norm": 0.2260379046201706,
+      "learning_rate": 2.5e-06,
+      "loss": 1.6037,
+      "step": 5
+    },
+    {
+      "epoch": 0.0016977328192975631,
+      "grad_norm": 0.22841325402259827,
+      "learning_rate": 3e-06,
+      "loss": 1.7516,
+      "step": 6
+    },
+    {
+      "epoch": 0.0019806882891804903,
+      "grad_norm": 0.2264419049024582,
+      "learning_rate": 3.5e-06,
+      "loss": 1.6381,
+      "step": 7
+    },
+    {
+      "epoch": 0.0022636437590634172,
+      "grad_norm": 0.2243099808692932,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 1.6218,
+      "step": 8
+    },
+    {
+      "epoch": 0.0025465992289463446,
+      "grad_norm": 0.22609008848667145,
+      "learning_rate": 4.5e-06,
+      "loss": 1.7965,
+      "step": 9
+    },
+    {
+      "epoch": 0.0028295546988292715,
+      "grad_norm": 0.2236413061618805,
+      "learning_rate": 5e-06,
+      "loss": 1.627,
+      "step": 10
+    },
+    {
+      "epoch": 0.003112510168712199,
+      "grad_norm": 0.22558826208114624,
+      "learning_rate": 4.99847706754774e-06,
+      "loss": 1.6984,
+      "step": 11
+    },
+    {
+      "epoch": 0.0033954656385951263,
+      "grad_norm": 0.2258475124835968,
+      "learning_rate": 4.993910125649561e-06,
+      "loss": 1.7771,
+      "step": 12
+    },
+    {
+      "epoch": 0.0036784211084780532,
+      "grad_norm": 0.22744576632976532,
+      "learning_rate": 4.986304738420684e-06,
+      "loss": 1.8596,
+      "step": 13
+    },
+    {
+      "epoch": 0.003961376578360981,
+      "grad_norm": 0.23717063665390015,
+      "learning_rate": 4.975670171853926e-06,
+      "loss": 1.7309,
+      "step": 14
+    },
+    {
+      "epoch": 0.004244332048243908,
+      "grad_norm": 0.24641063809394836,
+      "learning_rate": 4.962019382530521e-06,
+      "loss": 1.7129,
+      "step": 15
+    },
+    {
+      "epoch": 0.0045272875181268345,
+      "grad_norm": 0.24924293160438538,
+      "learning_rate": 4.9453690018345144e-06,
+      "loss": 1.5612,
+      "step": 16
+    },
+    {
+      "epoch": 0.004810242988009762,
+      "grad_norm": 0.2549281120300293,
+      "learning_rate": 4.925739315689991e-06,
+      "loss": 1.7049,
+      "step": 17
+    },
+    {
+      "epoch": 0.005093198457892689,
+      "grad_norm": 0.25972118973731995,
+      "learning_rate": 4.903154239845798e-06,
+      "loss": 1.7219,
+      "step": 18
+    },
+    {
+      "epoch": 0.005376153927775617,
+      "grad_norm": 0.255058616399765,
+      "learning_rate": 4.8776412907378845e-06,
+      "loss": 1.7442,
+      "step": 19
+    },
+    {
+      "epoch": 0.005659109397658543,
+      "grad_norm": 0.2729490399360657,
+      "learning_rate": 4.849231551964771e-06,
+      "loss": 1.5991,
+      "step": 20
+    },
+    {
+      "epoch": 0.0059420648675414705,
+      "grad_norm": 0.29475274682044983,
+      "learning_rate": 4.817959636416969e-06,
+      "loss": 1.7406,
+      "step": 21
+    },
+    {
+      "epoch": 0.006225020337424398,
+      "grad_norm": 0.3018348515033722,
+      "learning_rate": 4.783863644106502e-06,
+      "loss": 1.6124,
+      "step": 22
+    },
+    {
+      "epoch": 0.006507975807307325,
+      "grad_norm": 0.2862301766872406,
+      "learning_rate": 4.746985115747918e-06,
+      "loss": 1.6839,
+      "step": 23
+    },
+    {
+      "epoch": 0.006790931277190253,
+      "grad_norm": 0.2780909836292267,
+      "learning_rate": 4.707368982147318e-06,
+      "loss": 1.6919,
+      "step": 24
+    },
+    {
+      "epoch": 0.007073886747073179,
+      "grad_norm": 0.36598777770996094,
+      "learning_rate": 4.665063509461098e-06,
+      "loss": 1.591,
+      "step": 25
+    },
+    {
+      "epoch": 0.0073568422169561064,
+      "grad_norm": 0.30624476075172424,
+      "learning_rate": 4.620120240391065e-06,
+      "loss": 1.689,
+      "step": 26
+    },
+    {
+      "epoch": 0.007639797686839034,
+      "grad_norm": 0.31009432673454285,
+      "learning_rate": 4.572593931387604e-06,
+      "loss": 1.5904,
+      "step": 27
+    },
+    {
+      "epoch": 0.007922753156721961,
+      "grad_norm": 0.3450098931789398,
+      "learning_rate": 4.522542485937369e-06,
+      "loss": 1.8453,
+      "step": 28
+    },
+    {
+      "epoch": 0.008205708626604889,
+      "grad_norm": 0.3492002487182617,
+      "learning_rate": 4.470026884016805e-06,
+      "loss": 1.6714,
+      "step": 29
+    },
+    {
+      "epoch": 0.008488664096487816,
+      "grad_norm": 0.3813075125217438,
+      "learning_rate": 4.415111107797445e-06,
+      "loss": 1.8192,
+      "step": 30
+    },
+    {
+      "epoch": 0.008771619566370742,
+      "grad_norm": 0.3718988299369812,
+      "learning_rate": 4.357862063693486e-06,
+      "loss": 1.7705,
+      "step": 31
+    },
+    {
+      "epoch": 0.009054575036253669,
+      "grad_norm": 0.40331512689590454,
+      "learning_rate": 4.2983495008466285e-06,
+      "loss": 1.7683,
+      "step": 32
+    },
+    {
+      "epoch": 0.009337530506136596,
+      "grad_norm": 0.39676788449287415,
+      "learning_rate": 4.236645926147493e-06,
+      "loss": 1.8727,
+      "step": 33
+    },
+    {
+      "epoch": 0.009620485976019524,
+      "grad_norm": 0.3741147518157959,
+      "learning_rate": 4.172826515897146e-06,
+      "loss": 1.6343,
+      "step": 34
+    },
+    {
+      "epoch": 0.009903441445902451,
+      "grad_norm": 0.4250868856906891,
+      "learning_rate": 4.106969024216348e-06,
+      "loss": 1.6691,
+      "step": 35
+    },
+    {
+      "epoch": 0.010186396915785378,
+      "grad_norm": 0.4495253264904022,
+      "learning_rate": 4.039153688314146e-06,
+      "loss": 1.9349,
+      "step": 36
+    },
+    {
+      "epoch": 0.010469352385668306,
+      "grad_norm": 0.5064194202423096,
+      "learning_rate": 3.969463130731183e-06,
+      "loss": 1.6567,
+      "step": 37
+    },
+    {
+      "epoch": 0.010752307855551233,
+      "grad_norm": 0.4664653539657593,
+      "learning_rate": 3.897982258676867e-06,
+      "loss": 1.8358,
+      "step": 38
+    },
+    {
+      "epoch": 0.01103526332543416,
+      "grad_norm": 0.5383782982826233,
+      "learning_rate": 3.824798160583012e-06,
+      "loss": 1.6722,
+      "step": 39
+    },
+    {
+      "epoch": 0.011318218795317086,
+      "grad_norm": 0.5377122163772583,
+      "learning_rate": 3.7500000000000005e-06,
+      "loss": 1.9141,
+      "step": 40
+    },
+    {
+      "epoch": 0.011601174265200014,
+      "grad_norm": 0.5973826050758362,
+      "learning_rate": 3.6736789069647273e-06,
+      "loss": 1.8523,
+      "step": 41
+    },
+    {
+      "epoch": 0.011884129735082941,
+      "grad_norm": 0.567159116268158,
+      "learning_rate": 3.595927866972694e-06,
+      "loss": 1.7969,
+      "step": 42
+    },
+    {
+      "epoch": 0.012167085204965868,
+      "grad_norm": 0.5920159816741943,
+      "learning_rate": 3.516841607689501e-06,
+      "loss": 1.7303,
+      "step": 43
+    },
+    {
+      "epoch": 0.012450040674848796,
+      "grad_norm": 0.5894831418991089,
+      "learning_rate": 3.436516483539781e-06,
+      "loss": 1.79,
+      "step": 44
+    },
+    {
+      "epoch": 0.012732996144731723,
+      "grad_norm": 0.6172218918800354,
+      "learning_rate": 3.3550503583141726e-06,
+      "loss": 1.8005,
+      "step": 45
+    },
+    {
+      "epoch": 0.01301595161461465,
+      "grad_norm": 0.6074846982955933,
+      "learning_rate": 3.272542485937369e-06,
+      "loss": 1.6423,
+      "step": 46
+    },
+    {
+      "epoch": 0.013298907084497578,
+      "grad_norm": 0.6894397139549255,
+      "learning_rate": 3.189093389542498e-06,
+      "loss": 1.7168,
+      "step": 47
+    },
+    {
+      "epoch": 0.013581862554380505,
+      "grad_norm": 0.6483477354049683,
+      "learning_rate": 3.1048047389991693e-06,
+      "loss": 1.6779,
+      "step": 48
+    },
+    {
+      "epoch": 0.01386481802426343,
+      "grad_norm": 0.6398832201957703,
+      "learning_rate": 3.019779227044398e-06,
+      "loss": 1.7099,
+      "step": 49
+    },
+    {
+      "epoch": 0.014147773494146358,
+      "grad_norm": 0.5370185971260071,
+      "learning_rate": 2.9341204441673267e-06,
+      "loss": 1.8224,
+      "step": 50
+    },
+    {
+      "epoch": 0.014147773494146358,
+      "eval_loss": 1.6950736045837402,
+      "eval_runtime": 282.3386,
+      "eval_samples_per_second": 21.085,
+      "eval_steps_per_second": 5.274,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.129218204021555e+16,
+  "train_batch_size": 4,
+  "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:f7cfc6e365a813ef76c83d733c0a1b06cb7f98fb786d33cf2f8626cd9c30a4de
+size 6840