Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/Qwen2-0.5B
+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": "unsloth/Qwen2-0.5B",
+  "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": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "o_proj",
+    "gate_proj",
+    "up_proj",
+    "v_proj",
+    "down_proj",
+    "k_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:cf9f7ed671a3faed615a9e1e39ee539e221819e2b87cd17e5b5b472b151b58d0
+size 70430032

last-checkpoint/added_tokens.json

@@ -0,0 +1,6 @@
+{
+  "<|PAD_TOKEN|>": 151646,
+  "<|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 sha256:3e99f376027805023a806c987fc21ef3dcfe11bf5703c29aa0234775e28dd1ad
+size 141053442

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d9014d5762cd7983faebfeb31124d6a7be675ded56b081cebc3b02aa3150816
+size 15024

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a80faee148a795abde65ba45d941388944c73a8b49b89be2271e34514d3a1d7
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1c4bca2dacdec0ad570b95d7552cfd2a3561b04d15184509c88440404561483
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:857536cbe798aff60a3d28a9853ad078cc133dfd1e8a7f514b23225e7f124025
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f37b2aa490ccb1598b01e14cda36e9081f7ce646deab4d3c2d03de0d2169a755
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "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 sha256:9479047c22047670077878de944c696032b1a81049beeb6e99fbda7fb93e395a
+size 11418456

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,52 @@
+{
+  "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
+    },
+    "151646": {
+      "content": "<|PAD_TOKEN|>",
+      "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": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,233 @@
+{
+  "best_metric": 0.9844273924827576,
+  "best_model_checkpoint": "miner_id_24/checkpoint-25",
+  "epoch": 1.4385964912280702,
+  "eval_steps": 25,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.056140350877192984,
+      "grad_norm": 40.988529205322266,
+      "learning_rate": 5e-05,
+      "loss": 9.9807,
+      "step": 1
+    },
+    {
+      "epoch": 0.056140350877192984,
+      "eval_loss": 10.257285118103027,
+      "eval_runtime": 1.7596,
+      "eval_samples_per_second": 68.198,
+      "eval_steps_per_second": 8.525,
+      "step": 1
+    },
+    {
+      "epoch": 0.11228070175438597,
+      "grad_norm": 42.96883010864258,
+      "learning_rate": 0.0001,
+      "loss": 10.3023,
+      "step": 2
+    },
+    {
+      "epoch": 0.16842105263157894,
+      "grad_norm": 37.69118881225586,
+      "learning_rate": 9.989294616193017e-05,
+      "loss": 8.9005,
+      "step": 3
+    },
+    {
+      "epoch": 0.22456140350877193,
+      "grad_norm": 36.252384185791016,
+      "learning_rate": 9.957224306869053e-05,
+      "loss": 5.791,
+      "step": 4
+    },
+    {
+      "epoch": 0.2807017543859649,
+      "grad_norm": 30.784360885620117,
+      "learning_rate": 9.903926402016153e-05,
+      "loss": 3.559,
+      "step": 5
+    },
+    {
+      "epoch": 0.3368421052631579,
+      "grad_norm": 24.132333755493164,
+      "learning_rate": 9.829629131445342e-05,
+      "loss": 2.6449,
+      "step": 6
+    },
+    {
+      "epoch": 0.3929824561403509,
+      "grad_norm": 27.09242820739746,
+      "learning_rate": 9.73465064747553e-05,
+      "loss": 2.0326,
+      "step": 7
+    },
+    {
+      "epoch": 0.44912280701754387,
+      "grad_norm": 13.805081367492676,
+      "learning_rate": 9.619397662556435e-05,
+      "loss": 1.5471,
+      "step": 8
+    },
+    {
+      "epoch": 0.5052631578947369,
+      "grad_norm": 36.310142517089844,
+      "learning_rate": 9.484363707663442e-05,
+      "loss": 1.351,
+      "step": 9
+    },
+    {
+      "epoch": 0.5614035087719298,
+      "grad_norm": 15.280241966247559,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 1.1087,
+      "step": 10
+    },
+    {
+      "epoch": 0.6175438596491228,
+      "grad_norm": 8.321746826171875,
+      "learning_rate": 9.157348061512727e-05,
+      "loss": 1.0499,
+      "step": 11
+    },
+    {
+      "epoch": 0.6736842105263158,
+      "grad_norm": 11.641770362854004,
+      "learning_rate": 8.966766701456177e-05,
+      "loss": 1.0376,
+      "step": 12
+    },
+    {
+      "epoch": 0.7298245614035088,
+      "grad_norm": 15.036391258239746,
+      "learning_rate": 8.759199037394887e-05,
+      "loss": 1.1732,
+      "step": 13
+    },
+    {
+      "epoch": 0.7859649122807018,
+      "grad_norm": 10.391888618469238,
+      "learning_rate": 8.535533905932738e-05,
+      "loss": 1.0371,
+      "step": 14
+    },
+    {
+      "epoch": 0.8421052631578947,
+      "grad_norm": 2.5320839881896973,
+      "learning_rate": 8.296729075500344e-05,
+      "loss": 0.9961,
+      "step": 15
+    },
+    {
+      "epoch": 0.8982456140350877,
+      "grad_norm": 2.271365165710449,
+      "learning_rate": 8.043807145043604e-05,
+      "loss": 0.9803,
+      "step": 16
+    },
+    {
+      "epoch": 0.9543859649122807,
+      "grad_norm": 3.9986636638641357,
+      "learning_rate": 7.777851165098012e-05,
+      "loss": 0.9929,
+      "step": 17
+    },
+    {
+      "epoch": 1.0456140350877192,
+      "grad_norm": 12.490577697753906,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 2.1306,
+      "step": 18
+    },
+    {
+      "epoch": 1.1017543859649124,
+      "grad_norm": 4.3462982177734375,
+      "learning_rate": 7.211443451095007e-05,
+      "loss": 0.9834,
+      "step": 19
+    },
+    {
+      "epoch": 1.1578947368421053,
+      "grad_norm": 3.1821000576019287,
+      "learning_rate": 6.91341716182545e-05,
+      "loss": 0.975,
+      "step": 20
+    },
+    {
+      "epoch": 1.2140350877192982,
+      "grad_norm": 2.209925413131714,
+      "learning_rate": 6.607197326515808e-05,
+      "loss": 0.9703,
+      "step": 21
+    },
+    {
+      "epoch": 1.2701754385964912,
+      "grad_norm": 5.219216823577881,
+      "learning_rate": 6.294095225512603e-05,
+      "loss": 1.0513,
+      "step": 22
+    },
+    {
+      "epoch": 1.3263157894736843,
+      "grad_norm": 4.299022674560547,
+      "learning_rate": 5.9754516100806423e-05,
+      "loss": 0.9855,
+      "step": 23
+    },
+    {
+      "epoch": 1.3824561403508773,
+      "grad_norm": 2.6355159282684326,
+      "learning_rate": 5.6526309611002594e-05,
+      "loss": 0.9949,
+      "step": 24
+    },
+    {
+      "epoch": 1.4385964912280702,
+      "grad_norm": 2.5065155029296875,
+      "learning_rate": 5.327015646150716e-05,
+      "loss": 0.9883,
+      "step": 25
+    },
+    {
+      "epoch": 1.4385964912280702,
+      "eval_loss": 0.9844273924827576,
+      "eval_runtime": 1.7474,
+      "eval_samples_per_second": 68.672,
+      "eval_steps_per_second": 8.584,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 50,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 1,
+        "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": 1.47650456322048e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e672d9320ecc04216c5bbf3d46457692105f0965141d6975d269e0716a722b1
+size 6776