Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/Qwen2-0.5B-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": "unsloth/Qwen2-0.5B-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": 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": [
+    "gate_proj",
+    "q_proj",
+    "up_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "down_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 sha256:40e5e55f3f176728467dbe48dfdd1a6b74f6ce0a0165ee9e81adf3f4e9944ad0
+size 70430032

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 sha256:88f444d7b9862dc95dbf521f4861da39187e971429ea747f057d1cdc708249c9
+size 141053442

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19b96f64249b1966c480f4b0d236bd3f08f5a3e0eefb91eff1626ff3d398e8f5
+size 15024

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:175366fc266004727bc3abceda8c65bf29c5212eca9aceef8401e61872613f4b
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee2daa599ccecd61d3e5bac8b6d33b9f3682b1478293451512c51be3fb2f120e
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3c120d78ad2ae149a148a0b2075816b9db18a590bad108119bb89c17480f9cf
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5eda964d5b06109c7ff637060199d72e397eeb7027b50e10972a323edbe81312
+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 +1,44 @@
+{
+  "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": "{% 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|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,233 @@
+{
+  "best_metric": NaN,
+  "best_model_checkpoint": "miner_id_24/checkpoint-25",
+  "epoch": 0.09066183136899365,
+  "eval_steps": 25,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.003626473254759746,
+      "grad_norm": NaN,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.003626473254759746,
+      "eval_loss": NaN,
+      "eval_runtime": 1.5412,
+      "eval_samples_per_second": 32.443,
+      "eval_steps_per_second": 8.435,
+      "step": 1
+    },
+    {
+      "epoch": 0.007252946509519492,
+      "grad_norm": NaN,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 0.0,
+      "step": 2
+    },
+    {
+      "epoch": 0.010879419764279238,
+      "grad_norm": NaN,
+      "learning_rate": 0.0001,
+      "loss": 0.0,
+      "step": 3
+    },
+    {
+      "epoch": 0.014505893019038985,
+      "grad_norm": NaN,
+      "learning_rate": 9.99571699711836e-05,
+      "loss": 0.0,
+      "step": 4
+    },
+    {
+      "epoch": 0.01813236627379873,
+      "grad_norm": NaN,
+      "learning_rate": 9.982876141412856e-05,
+      "loss": 0.0,
+      "step": 5
+    },
+    {
+      "epoch": 0.021758839528558477,
+      "grad_norm": NaN,
+      "learning_rate": 9.961501876182148e-05,
+      "loss": 0.0,
+      "step": 6
+    },
+    {
+      "epoch": 0.025385312783318223,
+      "grad_norm": NaN,
+      "learning_rate": 9.931634888554937e-05,
+      "loss": 0.0,
+      "step": 7
+    },
+    {
+      "epoch": 0.02901178603807797,
+      "grad_norm": NaN,
+      "learning_rate": 9.893332032039701e-05,
+      "loss": 0.0,
+      "step": 8
+    },
+    {
+      "epoch": 0.032638259292837715,
+      "grad_norm": NaN,
+      "learning_rate": 9.846666218300807e-05,
+      "loss": 0.0,
+      "step": 9
+    },
+    {
+      "epoch": 0.03626473254759746,
+      "grad_norm": NaN,
+      "learning_rate": 9.791726278367022e-05,
+      "loss": 0.0,
+      "step": 10
+    },
+    {
+      "epoch": 0.03989120580235721,
+      "grad_norm": NaN,
+      "learning_rate": 9.728616793536588e-05,
+      "loss": 0.0,
+      "step": 11
+    },
+    {
+      "epoch": 0.043517679057116954,
+      "grad_norm": NaN,
+      "learning_rate": 9.657457896300791e-05,
+      "loss": 0.0,
+      "step": 12
+    },
+    {
+      "epoch": 0.0471441523118767,
+      "grad_norm": NaN,
+      "learning_rate": 9.578385041664925e-05,
+      "loss": 0.0,
+      "step": 13
+    },
+    {
+      "epoch": 0.050770625566636446,
+      "grad_norm": NaN,
+      "learning_rate": 9.491548749301997e-05,
+      "loss": 0.0,
+      "step": 14
+    },
+    {
+      "epoch": 0.05439709882139619,
+      "grad_norm": NaN,
+      "learning_rate": 9.397114317029975e-05,
+      "loss": 0.0,
+      "step": 15
+    },
+    {
+      "epoch": 0.05802357207615594,
+      "grad_norm": NaN,
+      "learning_rate": 9.295261506157986e-05,
+      "loss": 0.0,
+      "step": 16
+    },
+    {
+      "epoch": 0.061650045330915684,
+      "grad_norm": NaN,
+      "learning_rate": 9.186184199300464e-05,
+      "loss": 0.0,
+      "step": 17
+    },
+    {
+      "epoch": 0.06527651858567543,
+      "grad_norm": NaN,
+      "learning_rate": 9.070090031310558e-05,
+      "loss": 0.0,
+      "step": 18
+    },
+    {
+      "epoch": 0.06890299184043518,
+      "grad_norm": NaN,
+      "learning_rate": 8.947199994035401e-05,
+      "loss": 0.0,
+      "step": 19
+    },
+    {
+      "epoch": 0.07252946509519492,
+      "grad_norm": NaN,
+      "learning_rate": 8.817748015645558e-05,
+      "loss": 0.0,
+      "step": 20
+    },
+    {
+      "epoch": 0.07615593834995467,
+      "grad_norm": NaN,
+      "learning_rate": 8.681980515339464e-05,
+      "loss": 0.0,
+      "step": 21
+    },
+    {
+      "epoch": 0.07978241160471441,
+      "grad_norm": NaN,
+      "learning_rate": 8.540155934270471e-05,
+      "loss": 0.0,
+      "step": 22
+    },
+    {
+      "epoch": 0.08340888485947416,
+      "grad_norm": NaN,
+      "learning_rate": 8.392544243589427e-05,
+      "loss": 0.0,
+      "step": 23
+    },
+    {
+      "epoch": 0.08703535811423391,
+      "grad_norm": NaN,
+      "learning_rate": 8.239426430539243e-05,
+      "loss": 0.0,
+      "step": 24
+    },
+    {
+      "epoch": 0.09066183136899365,
+      "grad_norm": NaN,
+      "learning_rate": 8.081093963579707e-05,
+      "loss": 0.0,
+      "step": 25
+    },
+    {
+      "epoch": 0.09066183136899365,
+      "eval_loss": NaN,
+      "eval_runtime": 1.4918,
+      "eval_samples_per_second": 33.516,
+      "eval_steps_per_second": 8.714,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 75,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "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": 1.479273005187072e+16,
+  "train_batch_size": 1,
+  "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:d8cc8ef13af3a42dfff36ce23aa3736618eb82f8454253f53e87829499816620
+size 6840